Honghui Shi

1.2k citations
63 papers · 807 · h-index 15

Impact in

Papers in

Honghui Shi

59 papers receiving 787 citations

Peers

Honghui Shi
Comparison fields: 5 of 78
  • Reproductive Medicine 164
  • Obstetrics and Gynecology 130
  • Microbiology 84
  • Rheumatology 107
  • Cancer Research 96
Replace Zoltán Hernádi with:
Zoltán Hernádi Hungary
Derya Gümürdülü Türkiye
G Galazios Greece
E Konova Bulgaria
Cláudio Galleano Zettler Brazil
Dae Hoon Jeong South Korea
Corinne Solier France
Farah Parveen India
L Deligdisch United States
Peter A. Drew United States
Honghui Shi relative to Zoltán Hernádi Hungary Zoltán Hernádi's profile →
Citations per field
00.5×10×15×17.8×
Zoltán Hernádi · 1×
Citations per year

Countries citing papers authored by Honghui Shi

Since Specialization
Citations

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

Fields of papers citing papers by Honghui Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High incidence of somatic mitochondrial DNA mutations in human ovarian carcinomas.
2001210
2 202162
3 201961
4 202033
5 202128
6 201725
7 202024
8 201424
9 201623
10 201623
11 201923
12 201921
13 200920
14 201015
15 201815
16 202014
17 202112
18 201212
19 202212
20 201811

About Honghui Shi

Honghui Shi is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Rheumatology, Surgery and Molecular Biology, having authored 63 papers that have together received 807 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (13 papers), Uterine Myomas and Treatments (13 papers), Pelvic floor disorders treatments (11 papers), Reproductive tract infections research (6 papers), Cervical Cancer and HPV Research (4 papers), Gynecological conditions and treatments (4 papers), Reproductive System and Pregnancy (3 papers) and Genital Health and Disease (3 papers). The work is most often cited by research in Reproductive Medicine (164 citations), Obstetrics and Gynecology (130 citations), Microbiology (84 citations), Rheumatology (107 citations) and Cancer Research (96 citations). Honghui Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingbo Fan, Lan Zhu, Any Cheung, P Nagley, Vincent W.S. Liu, Hys Ngan, Pei-Chen Chiu, Xiaopei Chao, Jinghe Lang and Shu Wang. Their work appears in journals such as International Journal of Gynecology & Obstetrics, Medicine, Journal of Ovarian Research, International Journal of Gynecological Cancer and Archives of Gynecology and Obstetrics.

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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