Michael Volkmar

1.6k citations
19 papers · 930 · h-index 10

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

    • Epigenetics and DNA Methylation 3
    • Single-cell and spatial transcriptomics 2
    • Genomics and Chromatin Dynamics 2
    • CAR-T cell therapy research 7
    • Pancreatic and Hepatic Oncology Research 3
    • Cancer Immunotherapy and Biomarkers 2

Michael Volkmar

17 papers receiving 926 citations

Peers

Michael Volkmar
Comparison fields: 5 of 80
  • Molecular Biology 685
  • Immunology 156
  • Genetics 140
  • Cancer Research 62
  • Oncology 100
Replace Chun Deng with:
Chun Deng China
Guoqing Tong China
Jiali Yu China
Yang W. Zhang United States
M.Q. Islam Sweden
Jacob G. Kirkland United States
Nilotpal Roy United States
Bhakta R. Dey United States
Mohamed-Amin Choukrallah Switzerland
Jian Gu China
Michael Volkmar relative to Chun Deng China Chun Deng's profile →
Citations per field
00.5×4.5×
Chun Deng · 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

19 of 19 papers shown
#Work
1 2013390
2 2012301
3 202051
4 200532
5 200431
6 201227
7 202022
8 201922
9 202321
10 201614
11 20245
12 20214
13 20204
14 20203
15 20231
16 20231
17 20241
18 20250
19 20170

About Michael Volkmar

Michael Volkmar is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Surgery, having authored 19 papers that have together received 930 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 (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune Cell Function and Interaction (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Molecular Biology (685 citations), Immunology (156 citations), Genetics (140 citations), Cancer Research (62 citations) and Oncology (100 citations). Michael Volkmar has collaborated with scholars based in Germany, Belgium and Italy. Frequent co-authors include François Fuks, Emilie Calonne, Matthieu Defrance, Rachel Deplus, Benjamin Delatte, Ross L. Levine, Sarah Dedeurwaerder, Thomas Mercher, Nancy E. Murphy and Marie K. Schwinn. Their work appears in journals such as Frontiers in Immunology, The EMBO Journal, Nature Communications, Clinical Cancer Research and Pancreatology.

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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