Cong Fang

1.1k citations
62 papers · 685 · h-index 15

Impact in

Papers in

Cong Fang

55 papers receiving 666 citations

Peers

Cong Fang
Comparison fields: 5 of 83
  • Reproductive Medicine 269
  • Public Health, Environmental and Occupational Health 343
  • Pediatrics, Perinatology and Child Health 112
  • Immunology 71
  • Speech and Hearing 19
Replace Anupam Kaur with:
Anupam Kaur India
Lejun Li China
Daria Morini Italy
Mara Koifman Israel
Yiping Yu China
Isaac Ben‐Nun Israel
J. Saïas‐Magnan France
Chun‐Chia Huang Taiwan
In Ok Song South Korea
Cong Fang relative to Anupam Kaur India Anupam Kaur's profile →
Citations per field
00.5×6.3×
Anupam Kaur · 1×
Citations per year

Countries citing papers authored by Cong Fang

Since Specialization
Citations

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

Fields of papers citing papers by Cong Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201276
2 201468
3 200561
4 201458
5 201153
6 200732
7 201231
8 201325
9 201824
10 201922
11 202221
12 201920
13 201316
14 200915
15 201215
16 202410
17 20189
18 20219
19 20188
20 20148

About Cong Fang

Cong Fang is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Immunology and Molecular Biology, having authored 62 papers that have together received 685 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (24 papers), Ovarian function and disorders (17 papers), Sperm and Testicular Function (8 papers), Prenatal Screening and Diagnostics (7 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers), Mesenchymal stem cell research (3 papers), Reproductive Health and Technologies (3 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Reproductive Medicine (269 citations), Public Health, Environmental and Occupational Health (343 citations), Pediatrics, Perinatology and Child Health (112 citations), Immunology (71 citations) and Speech and Hearing (19 citations). Cong Fang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Rui Huang, Xiaoyan Liang, Li‐Na Wei, Lei Jia, Minfang Zhang, Yi Li, Guang‐lun Zhuang, Canquan Zhou, Chao Zhou and Ou Jiang. Their work appears in journals such as Fertility and Sterility, Journal of Assisted Reproduction and Genetics, Reproductive BioMedicine Online, BMC Pregnancy and Childbirth 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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