Junlin He

163 papers receiving 3.6k citations

Junlin He's Hit Papers

Pharmacological properties and derivatives of shikonin—A review in recent years 2019 · 286 citations
2860+2+4Years since publication50100150200250

Peers

Junlin He
Comparison fields: 5 of 128
  • Obstetrics and Gynecology 356
  • Reproductive Medicine 368
  • Toxicology 131
  • Electrochemistry 235
  • Immunology 647
Replace Gabriella Castoria with:
Gabriella Castoria Italy
Freya Schäfer United States
Wen‐Hsiung Chan Taiwan
Ki‐Tae Ha South Korea
Ling Wang China
Mohammed Al‐Qahtani Saudi Arabia
Thomas G. Hartman United States
Subbroto Kumar Saha South Korea
Alessandra Rinna United States
Ammad Ahmad Farooqı Pakistan
Junlin He relative to Gabriella Castoria Italy Gabriella Castoria's profile →
Citations per field
00.5×10×16.8×
Gabriella Castoria · 1×
Citations per year

Countries citing papers authored by Junlin He

Since Specialization
Citations

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

Fields of papers citing papers by Junlin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pharmacological properties and derivatives of shikonin—A review in recent years
Hit paper breakdown →
2019286
2 201797
3 201787
4 201687
5 201580
6 201580
7 201178
8 201374
9 201274
10 201965
11 201964
12 201460
13 201960
14 201058
15 200953
16 200947
17 201747
18 201646
19 201246
20 201846

About Junlin He

Junlin He is a scholar working on Molecular Biology, Immunology, Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 168 papers that have together received 3.6k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (57 papers), Advanced biosensing and bioanalysis techniques (34 papers), Endometriosis Research and Treatment (32 papers), Pregnancy and preeclampsia studies (27 papers), Electrochemical sensors and biosensors (14 papers), Reproductive Biology and Fertility (12 papers), Effects and risks of endocrine disrupting chemicals (9 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Obstetrics and Gynecology (356 citations), Reproductive Medicine (368 citations), Toxicology (131 citations), Electrochemistry (235 citations) and Immunology (647 citations). Junlin He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chao Yu, Yingxiong Wang, Xuemei Chen, Rufei Gao, Yubin Ding, Xueqing Liu, Jun Chen, Yanqing Geng, Yazhen Niu and Yilin Zhao. Their work appears in journals such as Biosensors and Bioelectronics, Journal of Hazardous Materials, Reproductive Sciences, Food and Chemical Toxicology and Ecotoxicology and Environmental Safety.

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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