Haolin Chen

5.1k citations
117 papers · 4.2k · h-index 37

Impact in

Papers in

Haolin Chen

113 papers receiving 4.2k citations

Peers

Haolin Chen
Comparison fields: 5 of 116
  • Reproductive Medicine 2.2k
  • Health, Toxicology and Mutagenesis 586
  • Endocrinology, Diabetes and Metabolism 560
  • Aging 35
  • Physiology 75
Replace Md Saidur Rahman with:
Md Saidur Rahman South Korea
Sebastião Roberto Taboga Brazil
Myung‐Geol Pang South Korea
René Habert France
Gabriel Livera France
Luca De Toni Italy
Barbara Wiszniewska Poland
Chuncheng Lu China
Yingxiong Wang China
Jundong Wang China
Haolin Chen relative to Md Saidur Rahman South Korea Md Saidur Rahman's profile →
Citations per field
00.5×2×3×4×4.8×
Md Saidur Rahman · 1×
Citations per year

Countries citing papers authored by Haolin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haolin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009231
2 2017215
3 2008198
4 2017186
5 2005132
6 2016127
7 2006120
8 2016114
9 2005105
10 2002100
11 201299
12 201699
13 200292
14 201186
15 201984
16 201079
17 201575
18 200574
19 199970
20 201568

About Haolin Chen

Haolin Chen is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Health, Toxicology and Mutagenesis, Materials Chemistry and Environmental Engineering, having authored 117 papers that have together received 4.2k indexed citations. Recurring topics across this work include Sperm and Testicular Function (61 papers), Hormonal and reproductive studies (21 papers), Effects and risks of endocrine disrupting chemicals (10 papers), Carbon and Quantum Dots Applications (6 papers), Hypothalamic control of reproductive hormones (4 papers), Nanoplatforms for cancer theranostics (4 papers), Heavy Metal Exposure and Toxicity (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Reproductive Medicine (2.2k citations), Health, Toxicology and Mutagenesis (586 citations), Endocrinology, Diabetes and Metabolism (560 citations), Aging (35 citations) and Physiology (75 citations). Haolin Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Barry R. Zirkin, Ren‐Shan Ge, Vassilios Papadopoulos, Leping Ye, Lindi Luo, June Liu, Andrew S. Midzak, Matthew P. Hardy, Fenfen Chen and Xiaoheng Li. Their work appears in journals such as Molecular and Cellular Endocrinology, Endocrinology, Biology of Reproduction, Journal of Andrology and Experimental Gerontology.

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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