Linjun Chen

478 citations
39 papers · 364 · h-index 12

Impact in

Papers in

Linjun Chen

34 papers receiving 354 citations

Peers

Linjun Chen
Comparison fields: 5 of 52
  • Pediatrics, Perinatology and Child Health 106
  • Reproductive Medicine 79
  • Nephrology 27
  • Hematology 31
  • Oncology 39
Replace Avital Luba Polsky with:
Avital Luba Polsky Israel
Kristin E. Murphy United States
C. Brent Barrett United States
Vladimir B. Nossov United States
Ettore Cotroneo Italy
Arnaud Reignier France
Yan Yu China
Ahmad El-Sheikhah Egypt
Thomas G. McConnell United States
Linjun Chen relative to Avital Luba Polsky Israel Avital Luba Polsky's profile →
Citations per field
00.5×10×20×27×
Avital Luba Polsky · 1×
Citations per year

Countries citing papers authored by Linjun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Linjun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202032
2 201422
3 201721
4 201821
5 200818
6 201818
7 201416
8 202016
9 202216
10 202316
11 201813
12 201612
13 201912
14 202212
15 201810
16 202010
17 202210
18 20159
19 20219
20 20138

About Linjun Chen

Linjun Chen is a scholar working on Pediatrics, Perinatology and Child Health, Reproductive Medicine, Public Health, Environmental and Occupational Health, Immunology and Nephrology, having authored 39 papers that have together received 364 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (13 papers), Reproductive Biology and Fertility (7 papers), Prenatal Screening and Diagnostics (6 papers), Reproductive Health and Technologies (5 papers), Sperm and Testicular Function (4 papers), CAR-T cell therapy research (3 papers), Reproductive System and Pregnancy (3 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (106 citations), Reproductive Medicine (79 citations), Nephrology (27 citations), Hematology (31 citations) and Oncology (39 citations). Linjun Chen has collaborated with scholars based in China and United States. Frequent co-authors include Haixiang Sun, Zhipeng Xu, Guijun Yan, Zhenyu Diao, Junshun Fang, Ningyuan Zhang, Eswar Krishnan, Jianjun Zhou, Jie Wang and Mihoko V. Bennett. Their work appears in journals such as Systems Biology in Reproductive Medicine, Journal of Assisted Reproduction and Genetics, DNA and Cell Biology, Reproductive BioMedicine Online and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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