Lomon So

1.6k citations
16 papers · 1.0k · h-index 13

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • T-cell and B-cell Immunology
    • Mast cells and histamine
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • PI3K/AKT/mTOR signaling in cancer 6
    • RNA modifications and cancer 2
    • interferon and immune responses 4
    • T-cell and B-cell Immunology 3
    • Mast cells and histamine 2

Lomon So

16 papers receiving 1.0k citations

Peers

Lomon So
Comparison fields: 5 of 82
  • Immunology 442
  • Genetics 156
  • Hematology 107
  • Molecular Biology 600
  • Oncology 198
Replace Ingrid A. M. Derks with:
Ingrid A. M. Derks Netherlands
Gijs Hardenberg Netherlands
Keisuke Horikawa Australia
Stephen B. Gauld United States
Claudya Tenca Italy
Barbara J. Vilen United States
W.‐K. Hofmann Germany
Paul Vink Netherlands
Laura C. Hooper United States
Nagaja Capitani Italy
Lomon So relative to Ingrid A. M. Derks Netherlands Ingrid A. M. Derks's profile →
Citations per field
00.5×1.5×2.1×
Ingrid A. M. Derks · 1×
Citations per year

Countries citing papers authored by Lomon So

Since Specialization
Citations

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

Fields of papers citing papers by Lomon So

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010276
2 2012181
3 2019176
4 201991
5 201259
6 201654
7 201452
8 201433
9 201331
10 202125
11 202218
12 202413
13 201713
14 201411
15 20244
16 19894

About Lomon So

Lomon So is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), interferon and immune responses (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), T-cell and B-cell Immunology (3 papers), Viral Infections and Immunology Research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Mast cells and histamine (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Immunology (442 citations), Genetics (156 citations), Hematology (107 citations), Molecular Biology (600 citations) and Oncology (198 citations). Lomon So has collaborated with scholars based in United States, South Korea and Croatia. Frequent co-authors include Sharmila Mallya, Ram Savan, Matthew R. Janes, Jose J. Limon, Adriana Forero, Christian Rommel, Pingda Ren, Michael Martin, Snehal Ozarkar and Michael Gale. Their work appears in journals such as Immunity, The Journal of Experimental Medicine, PLoS ONE, Autophagy and Nature Medicine.

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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