Marc Seifert

3.3k citations
34 papers · 1.6k · h-index 18

Impact in

  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 10
    • Chronic Lymphocytic Leukemia Research 13

Marc Seifert

33 papers receiving 1.6k citations

Peers

Marc Seifert
Comparison fields: 5 of 98
  • Genetics 347
  • Immunology 592
  • Pathology and Forensic Medicine 334
  • Insect Science 237
  • Environmental Chemistry 147
Replace Mark J. Osborn with:
Mark J. Osborn United States
Jeffrey L. Jensen United States
Sergey I. Nikolaev Switzerland
Peter Dall Germany
Ying Zhu China
Torbjörn Säll Sweden
Anna Maria Testi Italy
Isabelle Auger France
Joanna C. Fowler United Kingdom
Gionata De Vico Italy
Marc Seifert relative to Mark J. Osborn United States Mark J. Osborn's profile →
Citations per field
00.5×5.7×
Mark J. Osborn · 1×
Citations per year

Countries citing papers authored by Marc Seifert

Since Specialization
Citations

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

Fields of papers citing papers by Marc Seifert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012187
2 2016170
3 2015159
4 2006159
5 1998143
6 1999140
7 2009134
8 200982
9 201466
10 201553
11 201251
12 201844
13 201528
14 200826
15 201124
16 200023
17 202122
18 201920
19 202015
20 201712

About Marc Seifert

Marc Seifert is a scholar working on Immunology, Genetics, Pathology and Forensic Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Chronic Lymphocytic Leukemia Research (13 papers), T-cell and B-cell Immunology (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers), Forest Insect Ecology and Management (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Genetics (347 citations), Immunology (592 citations), Pathology and Forensic Medicine (334 citations), Insect Science (237 citations) and Environmental Chemistry (147 citations). Marc Seifert has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ralf Küppers, Beat Wermelinger, Jan Dürig, Glenn B. McGregor, Geoff Eaglesham, G. R. Shaw, Wasantha A. Wickramasinghe, Ludger Sellmann, Frederik Wein and Johannes Bloehdorn. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Journal of Applied Entomology, Proceedings of the National Academy of Sciences and Genome Medicine.

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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