Garwin Sing

1.3k citations
36 papers · 1.1k · h-index 19

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • Immunotherapy and Immune Responses
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Immune Cell Function and Interaction 5
    • interferon and immune responses 3
    • Hepatitis B Virus Studies 8
    • Cytomegalovirus and herpesvirus research 4

Garwin Sing

36 papers receiving 1.0k citations

Peers

Garwin Sing
Comparison fields: 5 of 91
  • Immunology 379
  • Hematology 146
  • Hepatology 72
  • Virology 29
  • Epidemiology 201
Replace Claire Coeshott with:
Claire Coeshott United States
Xueyan Xi China
Ben Quah Australia
Alvar Grönberg Sweden
Cheryl Chan Singapore
Andrea Tuettenberg Germany
Jean‐Marie Tiercy Switzerland
Jacinto López‐Sagaseta Spain
Ralf G. Meyer Germany
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Citations per field
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Citations per year

Countries citing papers authored by Garwin Sing

Since Specialization
Citations

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

Fields of papers citing papers by Garwin Sing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011233
2 1988187
3 198973
4 200260
5 202341
6
Growth inhibition of a human lymphoma cell line: induction of a transforming growth factor-beta-mediated autocrine negative loop by phorbol myristate acetate.
199037
7 201132
8 201931
9 201531
10 201627
11 199826
12 200125
13 200123
14 201521
15 200921
16 199819
17 199519
18 199319
19 198918
20 200717

About Garwin Sing

Garwin Sing is a scholar working on Immunology, Epidemiology, Molecular Biology, Hematology and Hepatology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Immune Cell Function and Interaction (5 papers), Hepatitis C virus research (5 papers), Acute Myeloid Leukemia Research (5 papers), TGF-β signaling in diseases (5 papers), Cytomegalovirus and herpesvirus research (4 papers), HIV Research and Treatment (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Immunology (379 citations), Hematology (146 citations), Hepatology (72 citations), Virology (29 citations) and Epidemiology (201 citations). Garwin Sing has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Larry Ellingsworth, F W Ruscetti, J R Keller, Francis W. Ruscetti, Charlie Mantel, S K Ruscetti, Jonathan R. Keller, Graham Cooksley, Peter Ghazal and Paul Dickinson. Their work appears in journals such as Journal of Viral Hepatitis, Hepatology, Journal of Virology, Journal of Cellular Biochemistry and BMC Genomics.

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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