Mark S. Schlissel

10.5k citations
87 papers · 8.5k indexed · 1 hit paper · h-index 49

Impact in

  • Immunology top 0.2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation

Papers in

    • T-cell and B-cell Immunology 51
    • Immune Cell Function and Interaction 42
    • Immunotherapy and Immune Responses 18
    • Immunodeficiency and Autoimmune Disorders 7

Mark S. Schlissel

86 papers receiving 8.3k citations

Hit Papers

A Critical Role for Dnmt1 and DNA Methylation in T Cell Development, Function, and Survival 2001 · 1.0k citations
1.0k20012026200920172505007501000

Peers

Mark S. Schlissel
Comparison fields: 5 of 129
  • Immunology 5.2k
  • Molecular Biology 4.1k
  • Cancer Research 746
  • Oncology 1.3k
  • Hematology 422
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Mark S. Schlissel relative to Richard J. Bram United States Richard J. Bram's profile →
Citations per field
00.5×1.6×
Richard J. Bram · 1×
Citations per year

Countries citing papers authored by Mark S. Schlissel

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Schlissel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Schlissel. 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 Mark S. Schlissel. The network helps show where Mark S. Schlissel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20158
2 201330
3 201137
4 2010115
5 200933
6 200914
7 200860
8 200726
9 200728
10 200793
11 200468
12 2003122
13 200229
14 2002120
15 200234
16 200171
17 2000157
18 199924
19 199945
20 199861

About Mark S. Schlissel

Mark S. Schlissel is a scholar working on Immunology, Aging, Molecular Biology, Cancer Research and Oncology, having authored 87 papers that have together received 8.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (51 papers), Immune Cell Function and Interaction (42 papers), Immunotherapy and Immune Responses (18 papers), DNA Repair Mechanisms (10 papers), NF-κB Signaling Pathways (8 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (5.2k citations), Molecular Biology (4.1k citations), Cancer Research (746 citations), Oncology (1.3k citations) and Hematology (422 citations). Mark S. Schlissel has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David Baltimore, Donald D. Brown, Antony Rosen, Rupesh H. Amin, Marjorie A. Oettinger, David G. Schatz, Stefan A. Muljo, Stacey R. Dillon, Livia Casciola‐Rosen and Michelle Petri. Their work appears in journals such as The Journal of Experimental Medicine, Molecular and Cellular Biology, Immunity, The Journal of Immunology and Cell.

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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