Michael Volkmar

1.6k citations
23 papers · 1.3k · h-index 12

Impact in

    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Glycosylation and Glycoproteins Research
    • Immune Cell Function and Interaction

Papers in

    • CAR-T cell therapy research 7
    • Pancreatic and Hepatic Oncology Research 3
    • Cancer Immunotherapy and Biomarkers 2
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 2

Michael Volkmar

19 papers receiving 1.3k citations

Peers

Michael Volkmar
Comparison fields: 5 of 85
  • Molecular Biology 879
  • Immunology 234
  • Cancer Research 127
  • Oncology 218
  • Genetics 175
Replace Tewfik Hamidi with:
Tewfik Hamidi United States
Yeguang Hu United States
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Yunfei Wang United States
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Citations per field
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Tewfik Hamidi · 1×
Citations per year

Countries citing papers authored by Michael Volkmar

Since Specialization
Citations

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

Fields of papers citing papers by Michael Volkmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013412
2 2012337
3 2011193
4 201682
5 202060
6 200534
7 202332
8 200431
9 201227
10 201926
11 202024
12 201615
13 20246
14 20205
15 20215
16 20234
17 20203
18 20243
19 20231
20 20170

About Michael Volkmar

Michael Volkmar is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Physiology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), T-cell and B-cell Immunology (5 papers), Epigenetics and DNA Methylation (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Single-cell and spatial transcriptomics (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Molecular Biology (879 citations), Immunology (234 citations), Cancer Research (127 citations), Oncology (218 citations) and Genetics (175 citations). Michael Volkmar has collaborated with scholars based in Germany, China and Belgium. Frequent co-authors include Emilie Calonne, François Fuks, Matthieu Defrance, Rachel Deplus, Sarah Dedeurwaerder, Pascale Putmans, Marie K. Schwinn, Alan H. Shih, Jacqui Méndez and Éric Solary. Their work appears in journals such as Frontiers in Immunology, The EMBO Journal, Signal Transduction and Targeted Therapy, Journal of Cancer and Molecular & Cellular Proteomics.

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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