John Im

406 citations
8 papers · 309 · 1 hit paper · h-index 4

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 4
    • Cytokine Signaling Pathways and Interactions 2
    • IL-33, ST2, and ILC Pathways 3
    • Immune Cell Function and Interaction 2
    • T-cell and B-cell Immunology 1

John Im

7 papers receiving 304 citations

John Im's Hit Papers

B cell-intrinsic epigenetic modulation of antibody responses by dietary fiber-derived short-chain fatty acids 2020 · 271 citations
2710+2+4Years since publication50100150200250

Peers

John Im
Comparison fields: 5 of 68
  • Biological Psychiatry 23
  • Immunology 83
  • Gastroenterology 15
  • Molecular Biology 185
  • Infectious Diseases 44
Replace Helia N. Sanchez with:
Helia N. Sanchez United States
Hanna Leister Germany
Fengwei Pan China
Sangeetha Jayaraman United States
Kendra Norwood United States
Leon Friesen United States
Jianping Hu China
Christina Klinger United States
Laura Gisbert-Ferrándiz Spain
Takuro Nii Japan
John Im relative to Helia N. Sanchez United States Helia N. Sanchez's profile →
Citations per field
00.5×1.5×
Helia N. Sanchez · 1×
Citations per year

Countries citing papers authored by John Im

Since Specialization
Citations

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

Fields of papers citing papers by John Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
B cell-intrinsic epigenetic modulation of antibody responses by dietary fiber-derived short-chain fatty acids
Hit paper breakdown →
2020271
2 202022
3 19917
4 20244
5 20202
6 20192
7 20201
8 20240

About John Im

John Im is a scholar working on Oncology, Immunology, Molecular Biology, Mathematical Physics and Algebra and Number Theory, having authored 8 papers that have together received 309 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immune Cell Function and Interaction (2 papers), Diabetes and associated disorders (1 paper), Analytic Number Theory Research (1 paper), T-cell and B-cell Immunology (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Biological Psychiatry (23 citations), Immunology (83 citations), Gastroenterology (15 citations), Molecular Biology (185 citations) and Infectious Diseases (44 citations). John Im has collaborated with scholars based in United States and China. Frequent co-authors include Tian Shen, Paolo Casali, Hong Zan, Justin B. Moroney, Helia N. Sanchez, Tianbao Li, Julia R. Taylor, Zhifang Qiu, Zhenming Xu and Neelam Mukherjee. Their work appears in journals such as Cancer Research, Nature Communications, American Journal of Mathematics, The Journal of Immunology and Aging 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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