Markus V. Heppt

7.0k total citations
153 papers, 2.3k citations indexed

About

Markus V. Heppt is a scholar working on Oncology, Dermatology and Epidemiology. According to data from OpenAlex, Markus V. Heppt has authored 153 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Oncology, 63 papers in Dermatology and 55 papers in Epidemiology. Recurrent topics in Markus V. Heppt's work include Cutaneous Melanoma Detection and Management (56 papers), Nonmelanoma Skin Cancer Studies (49 papers) and Cutaneous lymphoproliferative disorders research (29 papers). Markus V. Heppt is often cited by papers focused on Cutaneous Melanoma Detection and Management (56 papers), Nonmelanoma Skin Cancer Studies (49 papers) and Cutaneous lymphoproliferative disorders research (29 papers). Markus V. Heppt collaborates with scholars based in Germany, United States and Switzerland. Markus V. Heppt's co-authors include Carola Berking, Theresa Steeb, Thomas Ruzicka, Anja Wessely, Julia K. Tietze, Ulrike Leiter, Markus Reinholz, Michael Erdmann, Titus J. Brinker and Lucie Heinzerling and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Markus V. Heppt

140 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus V. Heppt Germany 25 1.2k 589 579 498 451 153 2.3k
Priyadharsini Nagarajan United States 24 1.3k 1.1× 598 1.0× 551 1.0× 595 1.2× 390 0.9× 147 2.3k
Erika Richtig Austria 27 1.5k 1.3× 564 1.0× 464 0.8× 507 1.0× 290 0.6× 123 2.4k
Rudolf Herbst Germany 22 1.1k 0.9× 340 0.6× 375 0.6× 604 1.2× 409 0.9× 70 1.9k
Ketty Peris Italy 24 661 0.6× 1.3k 2.2× 704 1.2× 365 0.7× 376 0.8× 169 2.2k
Marko Lens United Kingdom 26 1.6k 1.3× 479 0.8× 507 0.9× 756 1.5× 433 1.0× 53 2.5k
Bernhard Lange‐Asschenfeldt Germany 27 966 0.8× 574 1.0× 446 0.8× 837 1.7× 260 0.6× 56 2.5k
Jason K. Rivers Canada 28 1.4k 1.2× 1.5k 2.5× 650 1.1× 491 1.0× 189 0.4× 127 2.9k
G. Quéreux France 26 962 0.8× 861 1.5× 468 0.8× 429 0.9× 484 1.1× 148 2.2k
Kavita Y. Sarin United States 27 1.4k 1.1× 671 1.1× 710 1.2× 2.0k 3.9× 792 1.8× 111 3.8k
K. Neuber Germany 26 558 0.5× 650 1.1× 273 0.5× 465 0.9× 407 0.9× 60 1.8k

Countries citing papers authored by Markus V. Heppt

Since Specialization
Citations

This map shows the geographic impact of Markus V. Heppt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus V. Heppt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus V. Heppt more than expected).

Fields of papers citing papers by Markus V. Heppt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus V. Heppt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus V. Heppt. The network helps show where Markus V. Heppt may publish in the future.

Co-authorship network of co-authors of Markus V. Heppt

This figure shows the co-authorship network connecting the top 25 collaborators of Markus V. Heppt. A scholar is included among the top collaborators of Markus V. Heppt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus V. Heppt. Markus V. Heppt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Heppt, Markus V., et al.. (2025). Real‐world evidence of tirbanibulin in the treatment of actinic keratosis in Germany – prospective, multicenter, non‐interventional KLIR study. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 24(2). 186–193.
2.
Liguori, Renato, Alessandra Marnie Martins Gomes de Castro, Stefan Schliep, et al.. (2025). Checkpoint Blockade Efficacy in Uveal Melanoma Is Linked to Tumor Immunity, CD28, and CCL8. International Journal of Molecular Sciences. 26(20). 9964–9964.
3.
4.
Schneider, Lucas, Sarah Haggenmüller, Sarah Hobelsberger, et al.. (2024). Evaluating deep learning-based melanoma classification using immunohistochemistry and routine histology: A three center study. PLoS ONE. 19(1). e0297146–e0297146. 8 indexed citations
5.
Martins, Christina, Erik Rasbach, Markus V. Heppt, et al.. (2024). Tumor cell–intrinsic PD-1 promotes Merkel cell carcinoma growth by activating downstream mTOR-mitochondrial ROS signaling. Science Advances. 10(3). eadi2012–eadi2012. 14 indexed citations
6.
Brokmeier, Luisa Leonie, et al.. (2024). What does the general population know about nonmelanoma skin cancer? Representative cross-sectional data from Germany. Journal of Public Health. 34(2). 379–389.
7.
Sinnberg, Tobias, Ulrich Dischinger, Markus V. Heppt, et al.. (2024). Susceptibility of Melanoma Cells to Targeted Therapy Correlates with Protection by Blood Neutrophils. Cancers. 16(9). 1767–1767. 1 indexed citations
8.
9.
Dischinger, Ulrich, Markus V. Heppt, Kilian Wistuba‐Hamprecht, et al.. (2022). Blood Eosinophils Are Associated with Efficacy of Targeted Therapy in Patients with Advanced Melanoma. Cancers. 14(9). 2294–2294. 9 indexed citations
10.
Heppt, Markus V., Anja Wessely, Claudia Kammerbauer, et al.. (2022). HDAC2 Is Involved in the Regulation of BRN3A in Melanocytes and Melanoma. International Journal of Molecular Sciences. 23(2). 849–849. 7 indexed citations
11.
Diehl, Katharina, Markus V. Heppt, Annette Pfahlberg, et al.. (2022). Reporting Quality of Studies Developing and Validating Melanoma Prediction Models: An Assessment Based on the TRIPOD Statement. Healthcare. 10(2). 238–238. 5 indexed citations
12.
Haier, Jörg, Johannes Beller, Kristina Adorjan, et al.. (2022). Decision Conflicts in Clinical Care during COVID-19: A Multi-Perspective Inquiry. Healthcare. 10(10). 1914–1914. 6 indexed citations
13.
Haier, Jörg, Johannes Beller, Kristina Adorjan, et al.. (2022). Differences in Stakeholders’ Perception of the Impact of COVID-19 on Clinical Care and Decision-Making. Cancers. 14(17). 4317–4317. 3 indexed citations
14.
Pfahlberg, Annette, Wolfgang Uter, Carola Berking, et al.. (2022). Using the Prediction Model Risk of Bias Assessment Tool (PROBAST) to Evaluate Melanoma Prediction Studies. Cancers. 14(12). 3033–3033. 7 indexed citations
15.
Steeb, Theresa, Anja Wessely, Caroline Voskens, et al.. (2021). Experiences of In-Patients with Skin Cancer in a German University Hospital Setting: A Cross-Sectional Survey. Patient Preference and Adherence. Volume 15. 41–48. 1 indexed citations
16.
Maron, Roman C., Jochen Utikal, Achim Hekler, et al.. (2020). Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study. Journal of Medical Internet Research. 22(9). e18091–e18091. 47 indexed citations
17.
Heppt, Markus V., Theresa Steeb, Lutz Schmitz, et al.. (2019). Harmonisation of Outcome Parameters and Evaluation (HOPE) for actinic keratosis: protocol for the development of a core outcome set. Trials. 20(1). 589–589. 5 indexed citations
18.
Brinker, Titus J., Martina Gatzka, Markus V. Heppt, et al.. (2018). A Skin Cancer Prevention Facial-Aging Mobile App for Secondary Schools in Brazil: Appearance-Focused Interventional Study. JMIR mhealth and uhealth. 6(3). e60–e60. 26 indexed citations
19.
Bernardes‐Souza, Breno, Martina Gatzka, Markus V. Heppt, et al.. (2018). Facial-Aging Mobile Apps for Smoking Prevention in Secondary Schools in Brazil: Appearance-Focused Interventional Study. JMIR Public Health and Surveillance. 4(3). e10234–e10234. 5 indexed citations
20.
Brinker, Titus J., Stefan Eßer, Joachim Klode, et al.. (2018). A Face-Aging App for Smoking Cessation in a Waiting Room Setting: Pilot Study in an HIV Outpatient Clinic. Journal of Medical Internet Research. 20(8). e10976–e10976. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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