Benjamin Marks

667 citations
6 papers · 529 · h-index 5

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Psoriasis: Treatment and Pathogenesis
    • Immunodeficiency and Autoimmune Disorders
    • Immune Response and Inflammation
    • IL-33, ST2, and ILC Pathways
  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research

Papers in

    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 2
    • Atherosclerosis and Cardiovascular Diseases 1
    • Gene Regulatory Network Analysis 1

Benjamin Marks

6 papers receiving 520 citations

Peers

Benjamin Marks
Comparison fields: 5 of 58
  • Immunology 439
  • Rheumatology 83
  • Transplantation 6
  • Oncology 60
  • Dermatology 18
Replace Stefaan Colpaert with:
Stefaan Colpaert Belgium
Chiyoko Nohara Japan
Jessica A. Yang United States
David Swart United States
Anna Chan Australia
Salah Eddine Bentebibel United States
José Ramón Vidal-Castiñeira Spain
Heike Dornhoff Germany
Babak Noamani Canada
Bianca Seigel Germany
Benjamin Marks relative to Stefaan Colpaert Belgium Stefaan Colpaert's profile →
Citations per field
00.5×2.8×
Stefaan Colpaert · 1×
Citations per year

Countries citing papers authored by Benjamin Marks

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Benjamin Marks, 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 Benjamin Marks Line = papers co-authored together Benjamin Marks links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Benjamin Marks

Benjamin Marks is a scholar working on Immunology, Molecular Biology, Pharmacology, Dermatology and Rehabilitation, having authored 6 papers that have together received 529 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (2 papers), Cell Adhesion Molecules Research (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Nonmelanoma Skin Cancer Studies (1 paper), Computational Drug Discovery Methods (1 paper), Cutaneous lymphoproliferative disorders research (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Immunology (439 citations), Rheumatology (83 citations), Transplantation (6 citations), Oncology (60 citations) and Dermatology (18 citations). Benjamin Marks has collaborated with scholars based in United States, Ukraine and Sweden. Frequent co-authors include Joe Craft, Amanda C. Poholek, Richard A. Flavell, Jared Odegard, Chen Dong, Dwight H. Kono, Heba Nowyhed, Jin-Young Choi, Chris Sander and Ioannis K. Zervantonakis. Their work appears in journals such as The Journal of Experimental Medicine, Nature Immunology, Seminars in Immunology, PLoS Computational Biology and Breast Cancer Research.

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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