Thomas Graf

32.0k citations
296 papers · 23.5k indexed · 8 hit papers · h-index 83

Impact in

  • Immunology top 0.2%
    • Immune Cell Function and Interaction
  • Hematology top 0.2%
    • Acute Myeloid Leukemia Research

Papers in

Thomas Graf

290 papers receiving 22.4k citations

Hit Papers

Transcription factors and 3D genome conformation in cell-fate decisions 2019 · 313 citations
3131978202619942010250500750

Peers

Thomas Graf
Comparison fields: 5 of 181
  • Immunology 6.3k
  • Hematology 3.1k
  • Molecular Biology 13.5k
  • Animal Science and Zoology 1.5k
  • Genetics 4.0k
Replace Stuart A. Aaronson with:
Stuart A. Aaronson United States
Shigeo Ohno Japan
Joan S. Brugge United States
Frank Grosveld Netherlands
J. Michael Bishop United States
Mark Groudine United States
Luigi Naldini Italy
T Gingeras United States
Stephen P. Goff United States
Keiko Ozato United States
Thomas Graf relative to Stuart A. Aaronson United States Stuart A. Aaronson's profile →
Citations per field
00.5×1.5×2.3×
Stuart A. Aaronson · 1×
Citations per year

Countries citing papers authored by Thomas Graf

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Thomas Graf, 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 Graf Line = papers co-authored together Thomas Graf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 202417
3 202313
4 202023
5 201915
6 201941
7 201779
8 201120
9 200621
10 2004173
11
A Paracrine Loop between Tumor Cells and Macrophages Is Required for Tumor Cell Migration in Mammary Tumors
Hit paper breakdown →
2004901
12 200015
13 200094
14 199228
15
The Constraint Logic Programming Language CHIP.
1988240
16 198618
17 19858
18 19825
19 19806
20 197723

About Thomas Graf

Thomas Graf is a scholar working on Animal Science and Zoology, Genetics, Immunology, Hematology and Molecular Biology, having authored 296 papers that have together received 23.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (71 papers), Animal Virus Infections Studies (47 papers), Genomics and Chromatin Dynamics (30 papers), Pluripotent Stem Cells Research (28 papers), Viral Infectious Diseases and Gene Expression in Insects (26 papers), CRISPR and Genetic Engineering (24 papers), Immune Cell Function and Interaction (23 papers) and Epigenetics and DNA Methylation (20 papers). The work is most often cited by research in Immunology (6.3k citations), Hematology (3.1k citations), Molecular Biology (13.5k citations), Animal Science and Zoology (1.5k citations) and Genetics (4.0k citations). Thomas Graf has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Hartmut Beug, Matthias Stadtfeld, Tariq Enver, Huafeng Xie, Claus Nerlov, Scott A. Ness, Jon Frampton, H Beug, Michael J. Hayman and Ru Feng. Their work appears in journals such as Cell, Virology, Blood, The EMBO Journal and Genes & Development.

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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