Jeff G. Wang

673 citations
13 papers · 472 · h-index 11

Impact in

Papers in

Jeff G. Wang

13 papers receiving 448 citations

Peers

Jeff G. Wang
Comparison fields: 5 of 56
  • Reproductive Medicine 311
  • Public Health, Environmental and Occupational Health 130
  • Endocrinology, Diabetes and Metabolism 50
  • Infectious Diseases 42
  • Pediatrics, Perinatology and Child Health 39
Replace Parvaneh Mirabi with:
Parvaneh Mirabi Iran
S. Hammami Tunisia
Sedigheh Amooee Iran
S. McMullen United States
Farzaneh Esna‐Ashari Iran
Irfat Ara India
Deepa Pandit India
Lama Soubra Lebanon
Abay Mulu Ethiopia
Deema Rahme Lebanon
Jeff G. Wang relative to Parvaneh Mirabi Iran Parvaneh Mirabi's profile →
Citations per field
00.5×10.5×
Parvaneh Mirabi · 1×
Citations per year

Countries citing papers authored by Jeff G. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jeff G. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff G. Wang. 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 Jeff G. Wang. The network helps show where Jeff G. Wang may publish in the future.

Co-authors

The 18 scholars most cited alongside Jeff G. Wang, 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 Jeff G. Wang Line = papers co-authored together Jeff G. Wang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2007113
2 200860
3 200658
4 201055
5 200738
6 200835
7 201125
8 200725
9 200720
10 200620
11 200912
12 20056
13 20095

About Jeff G. Wang

Jeff G. Wang is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology and General Health Professions, having authored 13 papers that have together received 472 indexed citations. Recurring topics across this work include Ovarian function and disorders (6 papers), Reproductive Biology and Fertility (3 papers), Reproductive Health and Technologies (3 papers), HIV/AIDS Research and Interventions (1 paper), Natural Antidiabetic Agents Studies (1 paper), Porphyrin Metabolism and Disorders (1 paper), HIV Research and Treatment (1 paper) and Reproductive Health and Contraception (1 paper). The work is most often cited by research in Reproductive Medicine (311 citations), Public Health, Environmental and Occupational Health (130 citations), Endocrinology, Diabetes and Metabolism (50 citations), Infectious Diseases (42 citations) and Pediatrics, Perinatology and Child Health (39 citations). Jeff G. Wang has collaborated with scholars based in United States. Frequent co-authors include Mark V. Sauer, Rogerio A. Løbo, Gary S. Nakhuda, Michael M. Guarnaccia, Micheline C. Chu, Nataki C. Douglas, George Graham, Richard A. Anderson, Janet Choi and Melvin H. Thornton. Their work appears in journals such as Fertility and Sterility, Reproductive BioMedicine Online, Journal of Assisted Reproduction and Genetics, American Journal of Obstetrics and Gynecology and The Journal of Clinical Endocrinology & Metabolism.

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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