Pooja Gopal

1.2k citations
21 papers · 712 · h-index 17

Impact in

Papers in

    • Biochemical and Molecular Research 8
    • Protein Degradation and Inhibitors 3
    • Cancer therapeutics and mechanisms 3
    • RNA modifications and cancer 3
    • Ubiquitin and proteasome pathways 3
    • Tuberculosis Research and Epidemiology 10

Pooja Gopal

20 papers receiving 696 citations

Peers

Pooja Gopal
Comparison fields: 5 of 61
  • Infectious Diseases 354
  • Molecular Medicine 62
  • Epidemiology 266
  • Molecular Biology 461
  • Microbiology 23
Replace Carolina Trujillo with:
Carolina Trujillo United States
Rowan P. Morris Switzerland
Songhai Tian United States
Xingji Zheng Canada
Cressida A. Madigan United States
Melinda Sosa United States
Krishnamoorthy Gopinath India
Megan E. McBee United States
Pierre Santucci France
Wonsik Lee United States
Pooja Gopal relative to Carolina Trujillo United States Carolina Trujillo's profile →
Citations per field
00.5×1.7×
Carolina Trujillo · 1×
Citations per year

Countries citing papers authored by Pooja Gopal

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Gopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201997
2 201664
3 202063
4 202055
5 201752
6 201844
7 201942
8 201238
9 201931
10 201730
11 201829
12 201629
13 201425
14 201523
15 201723
16 202219
17 201918
18 202216
19 20249
20 20224

About Pooja Gopal

Pooja Gopal is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Oncology and Microbiology, having authored 21 papers that have together received 712 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Biochemical and Molecular Research (8 papers), Mycobacterium research and diagnosis (6 papers), Protein Degradation and Inhibitors (3 papers), Cancer therapeutics and mechanisms (3 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Infectious Diseases (354 citations), Molecular Medicine (62 citations), Epidemiology (266 citations), Molecular Biology (461 citations) and Microbiology (23 citations). Pooja Gopal has collaborated with scholars based in Singapore, United States and France. Frequent co-authors include Thomas Dick, Véronique Dartois, Michelle Yee, Martin Gengenbacher, Gerhard Grüber, Jansy P. Sarathy, Ming Li, Mei‐Lin Go, Firat Kaya and Jickky Palmae Sarathy. Their work appears in journals such as ACS Infectious Diseases, Journal of Medicinal Chemistry, Scientific Reports, Progress in Biophysics and Molecular Biology and ACS Medicinal Chemistry Letters.

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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