Lynn Soong

7.8k citations
156 papers · 6.2k indexed · h-index 48

Impact in

Papers in

    • Vector-borne infectious diseases 29
    • Parasites and Host Interactions 18
    • Immune Cell Function and Interaction 24
    • Toxin Mechanisms and Immunotoxins 14

Lynn Soong

155 papers receiving 6.1k citations

Peers

Lynn Soong
Comparison fields: 5 of 116
  • Parasitology 1.4k
  • Public Health, Environmental and Occupational Health 3.7k
  • Immunology 2.1k
  • Epidemiology 2.3k
  • Infectious Diseases 989
Replace Peter C. Melby with:
Peter C. Melby United States
Christian Engwerda Australia
Aldina Barral Brazil
Jacques Louis Switzerland
Claude Pirmez Brazil
Toni Aebischer Germany
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Lynn Soong relative to Peter C. Melby United States Peter C. Melby's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lynn Soong

Since Specialization
Citations

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

Fields of papers citing papers by Lynn Soong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20235
4 20229
5 202212
6 202118
7 202124
8 20209
9 201736
10 201731
11 201637
12 201078
13 200951
14 20091
15 200630
16 2006103
17 200612
18 200490
19 200488
20 200188

About Lynn Soong

Lynn Soong is a scholar working on Parasitology, Immunology, Public Health, Environmental and Occupational Health, Epidemiology and Infectious Diseases, having authored 156 papers that have together received 6.2k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (70 papers), Trypanosoma species research and implications (44 papers), Vector-borne infectious diseases (29 papers), Immune Cell Function and Interaction (24 papers), Mosquito-borne diseases and control (21 papers), Parasites and Host Interactions (18 papers), Viral Infections and Vectors (17 papers) and Toxin Mechanisms and Immunotoxins (14 papers). The work is most often cited by research in Parasitology (1.4k citations), Public Health, Environmental and Occupational Health (3.7k citations), Immunology (2.1k citations), Epidemiology (2.3k citations) and Infectious Diseases (989 citations). Lynn Soong has collaborated with scholars based in United States, China and France. Frequent co-authors include Jiaren Sun, Diane McMahon‐Pratt, Lijun Xin, Peter E. Kima, Nanchaya Wanasen, Jiaxiang Ji, Hai Qi, Yuejin Liang, Nancy H. Ruddle and Diego A. Vargas‐Inchaustegui. Their work appears in journals such as Infection and Immunity, The Journal of Immunology, PLoS neglected tropical diseases, PLoS ONE 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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