Lomon So

1.8k citations
17 papers · 1.2k · h-index 14

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 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • PI3K/AKT/mTOR signaling in cancer 6
    • RNA Research and Splicing 2
    • interferon and immune responses 4
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 2
    • Mast cells and histamine 2

Lomon So

17 papers receiving 1.1k citations

Peers

Lomon So
Comparison fields: 5 of 86
  • Immunology 435
  • Genetics 148
  • Hematology 104
  • Molecular Biology 624
  • Oncology 184
Replace Alexander L. Kovalchuk with:
Alexander L. Kovalchuk United States
Hye Sun Kuehn United States
Claudya Tenca Italy
David R. Gibb United States
Mario Piccoli Italy
Wendy Dubois United States
Jagan Muppidi United States
H. Daniel Lacorazza United States
Hélène Gary‐Gouy France
Yan Xing China
Lomon So relative to Alexander L. Kovalchuk United States Alexander L. Kovalchuk's profile →
Citations per field
00.5×1.7×
Alexander L. Kovalchuk · 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

17 of 17 papers shown
#Work
1 2010289
2 2012187
3 2019181
4 201995
5 201276
6 201260
7 201654
8 201454
9 201433
10 201331
11 202127
12 202222
13 202416
14 201713
15 201411
16 20245
17 19895

About Lomon So

Lomon So is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), interferon and immune responses (4 papers), T-cell and B-cell Immunology (3 papers), Viral Infections and Immunology Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (2 papers), RNA Research and Splicing (2 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Immunology (435 citations), Genetics (148 citations), Hematology (104 citations), Molecular Biology (624 citations) and Oncology (184 citations). Lomon So has collaborated with scholars based in United States, United Kingdom and South Korea. 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, PLoS ONE, The Journal of Experimental Medicine, Trends in Immunology 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.

Explore authors with similar magnitude of impact