Hui Long

1.4k citations
42 papers · 995 · h-index 17

Impact in

Papers in

Hui Long

39 papers receiving 980 citations

Peers

Hui Long
Comparison fields: 5 of 95
  • Reproductive Medicine 437
  • Public Health, Environmental and Occupational Health 260
  • Pediatrics, Perinatology and Child Health 111
  • Developmental Neuroscience 19
  • Endocrine and Autonomic Systems 30
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Asli Uyar United States
Youngjae Ryu South Korea
Nicola Beindorff Germany
Véronique De Smedt France
Yueqi Wang China
Arpita Ray United States
Michal Kraus Czechia
Quynh Anh Le Japan
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Citations per field
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Citations per year

Countries citing papers authored by Hui Long

Since Specialization
Citations

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

Fields of papers citing papers by Hui Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017105
2 201379
3 201667
4 201765
5 202060
6 200859
7 201458
8 201256
9 201747
10 202144
11 201743
12 202127
13 201124
14 201924
15 201023
16 201718
17 201217
18 201516
19 202115
20 202015

About Hui Long

Hui Long is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 995 indexed citations. Recurring topics across this work include Ovarian function and disorders (17 papers), Reproductive Biology and Fertility (13 papers), Assisted Reproductive Technology and Twin Pregnancy (6 papers), Hypothalamic control of reproductive hormones (5 papers), Sperm and Testicular Function (4 papers), Neuroendocrine regulation and behavior (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Reproductive Medicine (437 citations), Public Health, Environmental and Occupational Health (260 citations), Pediatrics, Perinatology and Child Health (111 citations), Developmental Neuroscience (19 citations) and Endocrine and Autonomic Systems (30 citations). Hui Long has collaborated with scholars based in China, United Kingdom and Norway. Frequent co-authors include Qifeng Lyu, Yanping Kuang, Lan Ma, Li Wang, Sha Yu, Hongyuan Gao, Feilong Tang, Yao Shen, Minyi Guo and Yuejun Chen. Their work appears in journals such as Reproductive Biology and Endocrinology, Scientific Reports, Frontiers in Physiology, PLoS ONE 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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