Fang Gai

12 total papers · 732 total citations
10 papers, 610 citations indexed

About

Fang Gai is a scholar working on Infectious Diseases, Microbiology and General Health Professions. According to data from OpenAlex, Fang Gai has authored 10 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Microbiology and 5 papers in General Health Professions. Recurrent topics in Fang Gai's work include HIV/AIDS Research and Interventions (7 papers), Reproductive tract infections research (7 papers) and Adolescent Sexual and Reproductive Health (5 papers). Fang Gai is often cited by papers focused on HIV/AIDS Research and Interventions (7 papers), Reproductive tract infections research (7 papers) and Adolescent Sexual and Reproductive Health (5 papers). Fang Gai collaborates with scholars based in United States, India and South Africa. Fang Gai's co-authors include Lisa Maslankowski, Kenneth H. Mayer, Wafaa El‐Sadr, Kathleen M. Morrow, James F. Rooney, Alex Carballo‐Diéguez, Rochelle K. Rosen, Benoı̂t Mâsse, Jessica Justman and Susie Hoffman and has published in prestigious journals such as PLoS ONE, AIDS and JAIDS Journal of Acquired Immune Deficiency Syndromes.

In The Last Decade

Fang Gai

10 papers receiving 589 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fang Gai 391 358 195 190 162 10 610
Kailazarid Gomez 351 0.9× 136 0.4× 128 0.7× 168 0.9× 182 1.1× 12 509
Jens Van Roey 338 0.9× 257 0.7× 58 0.3× 226 1.2× 127 0.8× 12 502
Christiana Coggins 287 0.7× 288 0.8× 306 1.6× 59 0.3× 122 0.8× 15 548
Kelley Ryan 193 0.5× 225 0.6× 167 0.9× 58 0.3× 119 0.7× 16 579
Lydia Altini 325 0.8× 301 0.8× 243 1.2× 114 0.6× 234 1.4× 8 603
Aixa Rodríguez 227 0.6× 214 0.6× 86 0.4× 146 0.8× 186 1.1× 17 587
Larisa Kizima 224 0.6× 209 0.6× 79 0.4× 158 0.8× 140 0.9× 16 513
Lindi Roberts 228 0.6× 203 0.6× 107 0.5× 212 1.1× 196 1.2× 8 585
Laura Noël‐Romas 181 0.5× 243 0.7× 77 0.4× 97 0.5× 152 0.9× 21 514
Alvan Fisher 425 1.1× 93 0.3× 87 0.4× 94 0.5× 368 2.3× 15 621

Countries citing papers authored by Fang Gai

Since Specialization
Citations

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

Fields of papers citing papers by Fang Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Gai

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Gai. A scholar is included among the top collaborators of Fang Gai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Gai. Fang Gai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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