Zhen‐Nan Pan

813 citations
31 papers · 624 · h-index 14

Impact in

Papers in

Zhen‐Nan Pan

30 papers receiving 616 citations

Peers

Zhen‐Nan Pan
Comparison fields: 5 of 78
  • Aging 46
  • Reproductive Medicine 87
  • Public Health, Environmental and Occupational Health 245
  • Health, Toxicology and Mutagenesis 93
  • Cell Biology 96
Replace Meng‐Hao Pan with:
Meng‐Hao Pan China
Xiaoxin Dai China
Changyin Zhou China
Yajuan Lu China
Mianqun Zhang China
Zheng‐Wen Nie South Korea
Yanzhou Yang China
Hao‐Lin Zhang China
Shen Yin China
Seul‐Gi Yang South Korea
Zhen‐Nan Pan relative to Meng‐Hao Pan China Meng‐Hao Pan's profile →
Citations per field
00.5×1.5×
Meng‐Hao Pan · 1×
Citations per year

Countries citing papers authored by Zhen‐Nan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Zhen‐Nan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen‐Nan Pan. 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 Zhen‐Nan Pan. The network helps show where Zhen‐Nan Pan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201890
2 202156
3 202043
4 202042
5 202038
6 202137
7 202036
8 202233
9 202129
10 202226
11 201920
12 201818
13 202215
14 202114
15 202013
16 202113
17 202312
18 202010
19 202110
20 202210

About Zhen‐Nan Pan

Zhen‐Nan Pan is a scholar working on Public Health, Environmental and Occupational Health, Cell Biology, Molecular Biology, Aging and Plant Science, having authored 31 papers that have together received 624 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (20 papers), Microtubule and mitosis dynamics (15 papers), Epigenetics and DNA Methylation (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Cellular transport and secretion (4 papers), Selenium in Biological Systems (3 papers), Cellular Mechanics and Interactions (3 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Aging (46 citations), Reproductive Medicine (87 citations), Public Health, Environmental and Occupational Health (245 citations), Health, Toxicology and Mutagenesis (93 citations) and Cell Biology (96 citations). Zhen‐Nan Pan has collaborated with scholars based in China and United States. Frequent co-authors include Shao‐Chen Sun, Meng‐Hao Pan, Hao‐Lin Zhang, Jia‐Qian Ju, Chun‐Hua Xing, Xiang Wan, Jing‐Cai Liu, Yi Xu, Ming‐Hong Sun and Mei Lan. Their work appears in journals such as Biology of Reproduction, eLife, Journal of Animal Science and Biotechnology, Journal of Cellular Physiology 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.

Explore authors with similar magnitude of impact