Background: Medical education is currently more considerate about the human dimension. The present qualitative study aimed to explain the experiences of clinical professors with regard to humanism in clinical education in Iran. Methods: This mixed methods study had two phases, a quanitative phase of scientometrics and a qualitative phase of a content analysis. In the scientometrics phase, Ravar PreMap and VOSviewer software programs were utilized for plotting the conceptual networks. The networks were analyzed at the micro-level based on centrality indices (closeness, degree, and betweenness). The conceptual network was plotted and the prominent topics in clinical education were identified using co-word analysis. In the second qualitative phase on the topic, based on the scientometrics phase, semi-structured interviews were conducted with clinical professors. The interviews were transcribed verbatim and analyzed. Results: On the basis of the analysis of titles, abstracts, and keywords of the retrieved articles on clinical education from ISI Web of Science, Scopus, and PubMed, 1412 keywords were extracted. After the refining process, 356 keywords with 6741 relations remained. Upon plotting the conceptual network, 19 conceptual clusters related to clinical education were obtained. Then, micro-level network analysis (centrality criteria) indicated that the keyword humanism with the frequency of 137 had the highest rate (97.753), closeness (97.802), and betweenness (13.407). Moreover, from the interview data analysis, two themes of "intertwined nature of the human spirit in clinical education" and "humanistic behavior of professors in clinical education" were extracted. Conclusion: As a part of the educational culture, humanistic values must be intertwined with the medical education curriculum. In this regard, humanism and clinical reasoning are the two major clusters of clinical teaching; moreover, altruism and adherence to humanistic values, and scientific qualification are other main pillars that should be considered as the criteria for the selection of clinical professors and medical students.