Jun‐Yu Ma

1.5k citations
60 papers · 1.3k · h-index 22

Impact in

Papers in

Jun‐Yu Ma

55 papers receiving 1.3k citations

Peers

Jun‐Yu Ma
Comparison fields: 5 of 83
  • Public Health, Environmental and Occupational Health 420
  • Health, Toxicology and Mutagenesis 128
  • Reproductive Medicine 72
  • Molecular Biology 361
  • Genetics 147
Replace Brian P. Enright with:
Brian P. Enright United States
Michal Ješeta Czechia
Shi‐Ming Luo China
Li‐Jun Huo China
Eunsong Lee South Korea
Maria Elena Dell’Aquila Italy
Fenglei Chen China
Toshinobu Nakamura Japan
Audrey Jalabert France
Jun‐Yu Ma relative to Brian P. Enright United States Brian P. Enright's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun‐Yu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Yu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Yu Ma. 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 Jun‐Yu Ma. The network helps show where Jun‐Yu Ma may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016107
2 201378
3 201665
4 201462
5 201360
6 201558
7 201457
8 201857
9 201356
10 201649
11 201145
12 202041
13 201538
14 202038
15 201535
16 202235
17 201329
18 201528
19 201625
20 201824

About Jun‐Yu Ma

Jun‐Yu Ma is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Cell Biology, Genetics and Reproductive Medicine, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (25 papers), DNA Repair Mechanisms (8 papers), Plasma and Flow Control in Aerodynamics (3 papers), Microtubule and mitosis dynamics (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Chromosomal and Genetic Variations (3 papers), Epigenetics and DNA Methylation (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (420 citations), Health, Toxicology and Mutagenesis (128 citations), Reproductive Medicine (72 citations), Molecular Biology (361 citations) and Genetics (147 citations). Jun‐Yu Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Shen, Qing-Yuan Sun, Shen Yin, Shi‐Ming Luo, Heide Schatten, Yi Hou, Xiang‐Hong Ou, Fang-Nong Lai, Jing‐Cai Liu and Zhen‐Bo Wang. Their work appears in journals such as PLoS ONE, Cell Cycle, Reproductive Toxicology, Frontiers in Nutrition and Biology of Reproduction.

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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