Thomas M. Kitzing

21 papers receiving 1.9k citations

Thomas M. Kitzing's Hit Papers

Mutant p53 Drives Pancreatic Cancer Metastasis through Cell-Autonomous PDGF Receptor β Signaling 2014 · 388 citations
3880+4+8Years since publication100200300

Peers

Thomas M. Kitzing
Comparison fields: 5 of 99
  • Immunology and Allergy 191
  • Cell Biology 515
  • Cancer Research 316
  • Hematology 245
  • Oncology 494
Replace Marie Schoumacher with:
Marie Schoumacher France
Ellen Freed United States
Alex O. Morla United States
Ari J. Firestone United States
Sebastian Guettler United Kingdom
Emer Bourke Ireland
Gavin Histen United States
Dominique Grall France
Ikuko F. Mizukami United States
Roger Ferrini United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas M. Kitzing

Since Specialization
Citations

This map shows the geographic impact of Thomas M. Kitzing'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 Thomas M. Kitzing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas M. Kitzing more than expected).

Fields of papers citing papers by Thomas M. Kitzing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Kitzing. 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 Thomas M. Kitzing. The network helps show where Thomas M. Kitzing may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas M. Kitzing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas M. Kitzing Line = papers co-authored together Thomas M. Kitzing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mutant p53 Drives Pancreatic Cancer Metastasis through Cell-Autonomous PDGF Receptor β Signaling
Hit paper breakdown →
2014388
2 2014263
3 2013255
4 2011223
5 2008163
6 2012131
7 2010117
8 2009114
9 200590
10 200862
11 200751
12 201536
13 202127
14 202020
15 202018
16 20097
17 20175
18 20182
19 20192
20 20171

About Thomas M. Kitzing

Thomas M. Kitzing is a scholar working on Cell Biology, Immunology and Allergy, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Cell Adhesion Molecules Research (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Heat shock proteins research (2 papers), Occupational and environmental lung diseases (2 papers), Cancer-related gene regulation (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Immunology and Allergy (191 citations), Cell Biology (515 citations), Cancer Research (316 citations), Hematology (245 citations) and Oncology (494 citations). Thomas M. Kitzing has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Robert Grosse, Scott Lowe, Dominique Tobias Brandt, Johanna Ivaska, Susann Weissmueller, Johannes A. Zuber, Nikolaus D. Schultz, Amy Rappaport, John W. R. Copeland and Ying Wang. Their work appears in journals such as Annals of Oncology, Nature Genetics, Journal of Biological Chemistry, Journal of Thoracic Oncology and Translational Lung Cancer Research.

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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