Daniel S. Hwang

1.1k citations
20 papers · 893 indexed · h-index 16

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • Viral Infections and Vectors

Papers in

    • HIV Research and Treatment 10
    • interferon and immune responses 4
    • Immunotherapy and Immune Responses 3
    • Immune Cell Function and Interaction 3

Daniel S. Hwang

20 papers receiving 874 citations

Peers

Daniel S. Hwang
Comparison fields: 5 of 73
  • Virology 392
  • Infectious Diseases 278
  • Immunology 309
  • Ophthalmology 67
  • Public Health, Environmental and Occupational Health 151
Replace Steve S.-L. Chen with:
Steve S.-L. Chen Taiwan
Melody M. H. Li United States
Jean Marc Jacqué United States
Charles Wohlenberg United States
Sophie Borel France
Chad M. Swanson United Kingdom
Mikayla Thompson United States
Denis Cointe France
Nicolas Gangneux France
Clémence Richetta France
Daniel S. Hwang relative to Steve S.-L. Chen Taiwan Steve S.-L. Chen's profile →
Citations per field
00.5×2.6×
Steve S.-L. Chen · 1×
Citations per year

Countries citing papers authored by Daniel S. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Hwang. 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 Daniel S. Hwang. The network helps show where Daniel S. Hwang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Management of Postpartum Hemorrhage: Recommendations From FIGO.
20231
2 201049
3 2009102
4 200832
5 200657
6 20062
7 200542
8 200541
9 20058
10 200424
11 200415
12 200435
13 200359
14 200335
15 200250
16 200217
17 2002124
18 200219
19 2002108
20 200173

About Daniel S. Hwang

Daniel S. Hwang is a scholar working on Virology, Immunology, Infectious Diseases, Cancer Research and Epidemiology, having authored 20 papers that have together received 893 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Hepatitis B Virus Studies (5 papers), interferon and immune responses (4 papers), Immunotherapy and Immune Responses (3 papers), HIV/AIDS drug development and treatment (3 papers), Immune Cell Function and Interaction (3 papers), NF-κB Signaling Pathways (3 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Virology (392 citations), Infectious Diseases (278 citations), Immunology (309 citations), Ophthalmology (67 citations) and Public Health, Environmental and Occupational Health (151 citations). Daniel S. Hwang has collaborated with scholars based in United States. Frequent co-authors include David B. Weiner, Kar Muthumani, Andrew Y. Choo, Brijal Desai, Douglas R. Green, Donghui Zhang, Kesen Dang, Premkumar Arumugam, Mathura P. Ramanathan and Mark D. Lee. Their work appears in journals such as DNA and Cell Biology, Molecular Therapy, Journal of Medical Primatology, Retrovirology and Current Drug Delivery.

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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