JT Elder

705 citations
13 papers · 602 · h-index 9

Impact in

  • Immunology top 5%
    • Psoriasis: Treatment and Pathogenesis
    • T-cell and B-cell Immunology
  • Dermatology top 10%
    • Dermatology and Skin Diseases

Papers in

    • Psoriasis: Treatment and Pathogenesis 8
    • T-cell and B-cell Immunology 1
    • T-cell and Retrovirus Studies 1
    • Hemoglobinopathies and Related Disorders 2
    • Chronic Lymphocytic Leukemia Research 1

JT Elder

12 papers receiving 565 citations

Peers

JT Elder
Comparison fields: 5 of 53
  • Immunology 397
  • Dermatology 40
  • Genetics 39
  • Rheumatology 38
  • Oncology 27
Replace Ronan Bergin with:
Ronan Bergin Ireland
Else N. Kop Netherlands
Urmila D. Bajpai United States
H.P. Tony Germany
Ronald Rudolf Germany
Lone Frier Bovin Denmark
Barbara L. Rothman United States
Zhimei Gao China
Edina Simon Hungary
Indra Gusti Mansur Indonesia
JT Elder relative to Ronan Bergin Ireland Ronan Bergin's profile →
Citations per field
00.5×2×4×5.7×
Ronan Bergin · 1×
Citations per year

Countries citing papers authored by JT Elder

Since Specialization
Citations

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

Fields of papers citing papers by JT Elder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
The genetics of psoriasis.
1994202
2 1990128
3 2009122
4 201532
5 198229
6 199027
7 201621
8 199420
9 198217
10
DNA-based typing of HLA-Cw6, a human leukocyte antigen with increased frequency in type 1 psoriasis
19941
11 19981
12
Localization of Psoriasis-Susceptibility Locus PSORS1 to a 60-kb Interval Telomeric to HLA-C. [In Process Citation]
20001
13 20181

About JT Elder

JT Elder is a scholar working on Immunology, Genetics, Oncology, Hematology and Cell Biology, having authored 13 papers that have together received 602 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (8 papers), Hemoglobinopathies and Related Disorders (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Hemoglobin structure and function (1 paper), Cancer-related Molecular Pathways (1 paper), T-cell and B-cell Immunology (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Immunology (397 citations), Dermatology (40 citations), Genetics (39 citations), Rheumatology (38 citations) and Oncology (27 citations). JT Elder has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Rajan P. Nair, Enno Christophers, Tilo Henseler, John J. Voorhees, Sun‐Wei Guo, John J. Voorhees, Daniel N. Sauder, Kevin D. Cooper, Lawrence S. Chan and Ole Baadsgaard. Their work appears in journals such as Journal of Investigative Dermatology, The Journal of Immunology, Oncogene, Blood and Genes and Immunity.

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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