Leah Gotlib

795 citations
14 papers · 725 · h-index 12

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 8
    • HIV/AIDS drug development and treatment 7
    • HIV/AIDS Research and Interventions 2

Leah Gotlib

14 papers receiving 680 citations

Peers

Leah Gotlib
Comparison fields: 5 of 59
  • Virology 428
  • Infectious Diseases 381
  • Molecular Biology 372
  • Immunology 65
  • Hepatology 21
Replace Ivo Bláha with:
Ivo Bláha Czechia
Tobias Schulze Germany
Brian D. Hellmig United States
Milbrey C. Starnes United States
Anne Marie Szilvay Norway
R.J. Tritch United States
Erin Loeliger United States
Gary Clements United Kingdom
Nikolozi Shkriabai United States
Albert T. Profy United States
Leah Gotlib relative to Ivo Bláha Czechia Ivo Bláha's profile →
Citations per field
00.5×2×3×4×
Ivo Bláha · 1×
Citations per year

Countries citing papers authored by Leah Gotlib

Since Specialization
Citations

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

Fields of papers citing papers by Leah Gotlib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1990165
2 1992101
3 199273
4 199457
5 198956
6 199446
7 199345
8 199044
9 199341
10 199135
11 198933
12 198213
13 19949
14 19867

About Leah Gotlib

Leah Gotlib is a scholar working on Virology, Infectious Diseases, Immunology, Animal Science and Zoology and Molecular Biology, having authored 14 papers that have together received 725 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (7 papers), HIV/AIDS Research and Interventions (2 papers), Lipid Membrane Structure and Behavior (2 papers), Biochemical and Molecular Research (2 papers), T-cell and B-cell Immunology (2 papers), Ubiquitin and proteasome pathways (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Virology (428 citations), Infectious Diseases (381 citations), Molecular Biology (372 citations), Immunology (65 citations) and Hepatology (21 citations). Leah Gotlib has collaborated with scholars based in United States. Frequent co-authors include Jon H. Condra, Donald J. Graham, Abner J. Schlabach, Vinod V. Sardana, Emilio A. Emini, Jill Wolfgang, Richard J. Colonno, William John Long, Robert L. LaFemina and P L Callahan. Their work appears in journals such as Journal of Biological Chemistry, Antimicrobial Agents and Chemotherapy, Biochemistry, The Journal of Cell Biology and Nature.

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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