Long V. Pham

1.1k citations
23 papers · 638 · 1 hit paper · h-index 13

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing

Papers in

    • SARS-CoV-2 and COVID-19 Research 12
    • SARS-CoV-2 detection and testing 5
    • Viral gastroenteritis research and epidemiology 4
    • COVID-19 Clinical Research Studies 4
    • Hepatitis C virus research 10

Long V. Pham

23 papers receiving 632 citations

Long V. Pham's Hit Papers

Nirmatrelvir-resistant SARS-CoV-2 variants with high fitness in an infectious cell culture system 2022 · 138 citations
1380+1+2Years since publication4080120

Peers

Long V. Pham
Comparison fields: 5 of 60
  • Hepatology 186
  • Infectious Diseases 288
  • Computational Theory and Mathematics 101
  • Epidemiology 147
  • Animal Science and Zoology 46
Replace Gitanjali Subramanya with:
Gitanjali Subramanya United States
Anna Offersgaard Denmark
Julie Blaising France
Hamed Gouklani Iran
Paula Monteiro Perin Germany
Soonju Park South Korea
Justin Shields Canada
Aesop Cho United States
Amornrat O’Brien United States
Ona Barauskas United States
Long V. Pham relative to Gitanjali Subramanya United States Gitanjali Subramanya's profile →
Citations per field
00.5×5.5×
Gitanjali Subramanya · 1×
Citations per year

Countries citing papers authored by Long V. Pham

Since Specialization
Citations

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

Fields of papers citing papers by Long V. Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long V. Pham. 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 Long V. Pham. The network helps show where Long V. Pham may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nirmatrelvir-resistant SARS-CoV-2 variants with high fitness in an infectious cell culture system
Hit paper breakdown →
2022138
2 202171
3 202166
4 201762
5 201441
6 201839
7 202138
8 201832
9 202227
10 201320
11 201219
12 201618
13 202117
14 202110
15 202310
16 20179
17 20236
18 20175
19 20245
20 20222

About Long V. Pham

Long V. Pham is a scholar working on Infectious Diseases, Hepatology, Animal Science and Zoology, Epidemiology and Computational Theory and Mathematics, having authored 23 papers that have together received 638 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Hepatitis C virus research (10 papers), SARS-CoV-2 detection and testing (5 papers), Viral gastroenteritis research and epidemiology (4 papers), COVID-19 Clinical Research Studies (4 papers), Animal Virus Infections Studies (4 papers), Hepatitis B Virus Studies (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Hepatology (186 citations), Infectious Diseases (288 citations), Computational Theory and Mathematics (101 citations), Epidemiology (147 citations) and Animal Science and Zoology (46 citations). Long V. Pham has collaborated with scholars based in Denmark, South Korea and Germany. Frequent co-authors include Jens Bukh, Santseharay Ramírez, Judith M. Gottwein, Ulrik Fahnøe, Anna Offersgaard, Karen Anbro Gammeltoft, Yuyong Zhou, Carlota Fernandez-Antunez, Yun-Sook Lim and Shan Feng. Their work appears in journals such as Viruses, Antimicrobial Agents and Chemotherapy, Journal of Hepatology, Emerging Microbes & Infections and Journal of Virology.

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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