Junjun Gao

27 papers receiving 878 citations

Peers

Junjun Gao
Comparison fields: 5 of 87
  • Obstetrics and Gynecology 133
  • Genetics 242
  • Molecular Biology 513
  • Endocrinology 27
  • Ecology 134
Replace Hye‐Yeon Hwang with:
Hye‐Yeon Hwang South Korea
Amit R. Majithia United States
Danielle J. Smith United States
Cérina Chhuon France
Go Hirokawa United States
Chenchen Cui China
Chien‐Chia Wang Taiwan
Jenny McDougall United States
Xiaowei Xie China
Bowen Zhang China
Junjun Gao relative to Hye‐Yeon Hwang South Korea Hye‐Yeon Hwang's profile →
Citations per field
00.5×2×4×6×8.3×
Hye‐Yeon Hwang · 1×
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 28 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 2006103
3 200397
4 200976
5 201262
6 201551
7 202243
8 202041
9 201841
10 201529
11 200328
12 202028
13 202023
14 201820
15 201116
16 201815
17 201414
18 201813
19 200412
20 201812

About Junjun Gao

Junjun Gao is a scholar working on Obstetrics and Gynecology, Genetics, Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 894 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Pregnancy and preeclampsia studies (5 papers), RNA and protein synthesis mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cell death mechanisms and regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Sexual function and dysfunction studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (133 citations), Genetics (242 citations), Molecular Biology (513 citations), Endocrinology (27 citations) and Ecology (134 citations). Junjun Gao has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include George N. Georgiou, Xiaoming Zhan, Stanley N. Cohen, Kangseok Lee, James A. Wells, Rangaswamy Meganathan, Yanan Feng, Sachdev S. Sidhu, Ji Qiu and Ying Shi. Their work appears in journals such as Placenta, The Journal of Maternal-Fetal & Neonatal Medicine, Journal of Molecular Biology, Neuron and Advanced Materials Technologies.

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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