Seth Lederman

5.0k citations
82 papers · 4.1k indexed · 1 hit paper · h-index 29

Seth Lederman

75 papers receiving 3.9k citations

Hit Papers

Tolerization of dendritic cells by TS cells: the crucial ...6422002202620102018200400600

Peers

Seth Lederman
Comparison fields: 5 of 120
  • Immunology 2.8k
  • Virology 339
  • Immunology and Allergy 228
  • Cancer Research 510
  • Transplantation 91
Replace Thomas Hünig with:
Thomas Hünig Germany
Raul M. Torres United States
Christopher D.C. Allen United States
Xuyu Zhou China
Réjean Lapointe Canada
Michael P. Cancro United States
Toshio Heike Japan
Jason G. Cyster United States
Philip J. Lucas United States
John I. Bell United Kingdom
Seth Lederman relative to Thomas Hünig Germany Thomas Hünig's profile →
Citations per field
00.5×2.8×
Thomas Hünig · 1×
Citations per year

Countries citing papers authored by Seth Lederman

Since Specialization
Citations

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

Fields of papers citing papers by Seth Lederman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20236
3 20230
4 20223
5 2018156
6 20082
7 200273
8 20015
9 200072
10 200022
11 199914
12
T suppressor lymphocytes inhibit NF-kappa B-mediated transcription of CD86 gene in APC.
1999112
13 199930
14 199628
15 199614
16 1995195
17 199320
18
Molecular interactions mediating T-B lymphocyte collaboration in human lymphoid follicles. Roles of T cell-B-cell-activating molecule (5c8 antigen) and CD40 in contact-dependent help.Lederman S, Yellin MJ, Inghirami G, Lee JJ, Knowles DM, Chess L.
199224
19 199222
20 1992310

About Seth Lederman

Seth Lederman is a scholar working on Virology, Immunology and Transplantation, having authored 82 papers that have together received 4.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (21 papers), Immunotherapy and Immune Responses (14 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), Poxvirus research and outbreaks (7 papers), NF-κB Signaling Pathways (7 papers), HIV Research and Treatment (6 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Immunology (2.8k citations), Virology (339 citations) and Immunology and Allergy (228 citations). Seth Lederman has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Leonard Chess, Michael Yellin, Nicole Suciu‐Foca, Aileen M. Cleary, R Cortesini, Zhuoru Liu, Adriana I. Colovai, Rodica Ciubotariu, David Baltimore and Genhong Cheng. Their work appears in journals such as The Journal of Immunology, Molecular Immunology, Human Immunology, Annals of the Rheumatic Diseases and Transplantation.

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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