Eric Y. Helm

644 citations
17 papers · 457 · h-index 13

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Psoriasis: Treatment and Pathogenesis
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 7
    • IL-33, ST2, and ILC Pathways 4
    • Psoriasis: Treatment and Pathogenesis 2
    • Galectins and Cancer Biology 1
    • Multiple Sclerosis Research Studies 3

Eric Y. Helm

14 papers receiving 453 citations

Peers

Eric Y. Helm
Comparison fields: 5 of 65
  • Immunology 217
  • Biological Psychiatry 9
  • Oncology 63
  • Pathology and Forensic Medicine 23
  • Aging 2
Replace Takumi Kobayashi with:
Takumi Kobayashi Australia
Chantal Guindi Canada
Pei Qiao China
Marie Törngren Sweden
Daisuke Hasegawa Japan
Günter Küblbeck Germany
Mayumi Ohue Japan
Emi Nishida Japan
Lucinda H. Elliott United States
Rachel Rignault‐Bricard France
Eric Y. Helm relative to Takumi Kobayashi Australia Takumi Kobayashi's profile →
Citations per field
00.5×2×3×
Takumi Kobayashi · 1×
Citations per year

Countries citing papers authored by Eric Y. Helm

Since Specialization
Citations

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

Fields of papers citing papers by Eric Y. Helm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Y. Helm. 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 Eric Y. Helm. The network helps show where Eric Y. Helm may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201974
2 202172
3 202166
4 202362
5 201739
6 202325
7 201924
8 202320
9 202216
10 202114
11 202114
12 202313
13 202313
14 20235
15 20250
16 20250
17 20260

About Eric Y. Helm

Eric Y. Helm is a scholar working on Immunology, Pathology and Forensic Medicine, Parasitology, Complementary and alternative medicine and Pharmacology, having authored 17 papers that have together received 457 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), IL-33, ST2, and ILC Pathways (4 papers), Multiple Sclerosis Research Studies (3 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Cardiovascular Health and Disease Prevention (1 paper), Inflammatory mediators and NSAID effects (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (217 citations), Biological Psychiatry (9 citations), Oncology (63 citations), Pathology and Forensic Medicine (23 citations) and Aging (2 citations). Eric Y. Helm has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Liang Zhou, Dorina Avram, Pamela J. Fink, Joseph W. Dean, Zheng Fu, Theodore T. Drashansky, Alexander J. Kwiatkowski, Jonathan J Cho, Benjamin George Keselowsky and Joshua Michael Stewart. Their work appears in journals such as Nature Communications, Cell Reports, Science Immunology, Nature Biomedical Engineering and Frontiers in Immunology.

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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