Michael T. Tetzlaff

24.1k citations
230 papers · 5.8k indexed · h-index 40
Topics
Cutaneous Melanoma Detection and Management (56 papers)Melanoma and MAPK Pathways (43 papers)Cancer Immunotherapy and Biomarkers (42 papers)

In The Last Decade

Michael T. Tetzlaff

223 papers receiving 5.7k citations

Peers

Michael T. Tetzlaff
Comparison fields: 5 of 119
  • Oncology 2.9k
  • Molecular Biology 2.1k
  • Dermatology 1.2k
  • Immunology 1.1k
  • Epidemiology 903
Replace Eduardo Nagore with:
Eduardo Nagore Spain
Douglas R. Fullen United States
Hong Wu United States
William Damsky United States
Joost J. van den Oord Belgium
Ulrich Schwab United Kingdom
Jennifer M. McNiff United States
Thomas Wiesner Austria
D. J. Ruiter Netherlands
Bryan D. Young United Kingdom
Michael T. Tetzlaff relative to Eduardo Nagore Spain Eduardo Nagore's profile →
Citations per field
00.5×1.5×1.8×
Eduardo Nagore · 1×
Citations per year

Countries citing papers authored by Michael T. Tetzlaff

Since Specialization
Citations

This map shows the geographic impact of Michael T. Tetzlaff'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 Michael T. Tetzlaff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Tetzlaff more than expected).

Fields of papers citing papers by Michael T. Tetzlaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Tetzlaff. 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 Michael T. Tetzlaff. The network helps show where Michael T. Tetzlaff may publish in the future.

Co-authorship network of co-authors of Michael T. Tetzlaff

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Tetzlaff. A scholar is included among the top collaborators of Michael T. Tetzlaff 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 Michael T. Tetzlaff. Michael T. Tetzlaff 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
#WorkIndexed citations
1 0
2 1
3 0
4 10
5 37
6 6
7 169
8 91
9 29
10 36
11 23
12 19
13 41
14 23
15 82
16 86
17 33
18 120
19 109
20 1

About Michael T. Tetzlaff

Michael T. Tetzlaff is a scholar working on Dermatology, Oncology and Ophthalmology, having authored 230 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (56 papers), Melanoma and MAPK Pathways (43 papers) and Cancer Immunotherapy and Biomarkers (42 papers). The work is most often cited by research in Dermatology (1.2k citations), Oncology (2.9k citations) and Cancer Research (882 citations). Michael T. Tetzlaff has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Víctor G. Prieto, Jonathan L. Curry, Carlos A. Torres‐Cabala, Madeleine Duvic, Priyadharsini Nagarajan, Doina Ivan, Adi Diab, Phyu P. Aung, Xiaowei Xu and Jennifer A. Wargo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

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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