Junjun Gao

1.1k citations
23 papers · 743 · h-index 14

Impact in

Papers in

Junjun Gao

22 papers receiving 727 citations

Peers

Junjun Gao
Comparison fields: 5 of 79
  • Obstetrics and Gynecology 146
  • Genetics 249
  • Molecular Biology 467
  • Endocrinology 27
  • Ecology 134
Replace Dawit Kidane with:
Dawit Kidane United States
Michael Byers United States
Judith A. Hawkhead United Kingdom
Zhiqiang Yan China
Ruiying Diao China
Marcel Bokhove Sweden
C. Hu United States
Giulia Grimaldi United Kingdom
Pankaj Suman India
Giuseppe D’Amato Italy
Junjun Gao relative to Dawit Kidane United States Dawit Kidane's profile →
Citations per field
00.5×6.1×
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Citations per year

Countries citing papers authored by Junjun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junjun Gao, 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 Junjun Gao Line = papers co-authored together Junjun Gao 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
RraA. a protein inhibitor of RNase E activity that globally modulates RNA abundance in E. coli.
2003127
2 2006101
3 200399
4 200971
5 201546
6 201840
7 202038
8 201529
9 202028
10 200326
11 202023
12 201821
13 201815
14 201413
15 201813
16 201812
17 200410
18 20219
19 20219
20 20199

About Junjun Gao

Junjun Gao is a scholar working on Molecular Biology, Obstetrics and Gynecology, Genetics, Pediatrics, Perinatology and Child Health and Immunology, having authored 23 papers that have together received 743 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (7 papers), Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (5 papers), Birth, Development, and Health (3 papers), Cancer-related molecular mechanisms research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Gestational Diabetes Research and Management (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Obstetrics and Gynecology (146 citations), Genetics (249 citations), Molecular Biology (467 citations), Endocrinology (27 citations) and Ecology (134 citations). Junjun Gao has collaborated with scholars based in China, United States and France. Frequent co-authors include George Georgiou, Xiaoming Zhan, Stanley N. Cohen, Kangseok Lee, R. Meganathan, Yanan Feng, Sachdev S. Sidhu, Ji Qiu, James A. Wells and Ying Shi. Their work appears in journals such as Placenta, The Journal of Maternal-Fetal & Neonatal Medicine, Journal of Molecular Biology, Molecular Microbiology and Journal of Bacteriology.

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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