Wei Ma

1.4k citations
52 papers · 1.1k · 1 hit paper · h-index 19

Impact in

Papers in

Wei Ma

49 papers receiving 1.1k citations

Wei Ma's Hit Papers

Iron accumulation in ovarian microenvironment damages the local redox balance and oocyte quality in aging mice 2024 · 37 citations
370+1Years since publication102030

Peers

Wei Ma
Comparison fields: 5 of 106
  • Reproductive Medicine 163
  • Cell Biology 245
  • Public Health, Environmental and Occupational Health 387
  • Molecular Biology 583
  • Aging 11
Replace Ji‐Xin Tang with:
Ji‐Xin Tang China
Shi‐Xiong Tan Australia
Parimal C. Sen India
Yan Shen China
Emad A. Ahmed Egypt
Carsten Andersen United States
TSUTOMU MIMURA Japan
Ju Yuan China
Dagan Mao China
Man Zhang China
Wei Ma relative to Ji‐Xin Tang China Ji‐Xin Tang's profile →
Citations per field
00.5×4.4×
Ji‐Xin Tang · 1×
Citations per year

Countries citing papers authored by Wei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021109
2 200499
3 201174
4 202068
5 200455
6 201053
7 200447
8 200443
9 200440
10 201439
11
Iron accumulation in ovarian microenvironment damages the local redox balance and oocyte quality in aging mice
Hit paper breakdown →
202437
12 201132
13 200331
14 201227
15 202226
16 200724
17 201524
18 200824
19 202222
20 202018

About Wei Ma

Wei Ma is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Cell Biology, Reproductive Medicine and Genetics, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (28 papers), Microtubule and mitosis dynamics (19 papers), Epigenetics and DNA Methylation (9 papers), Genomics and Chromatin Dynamics (6 papers), Sperm and Testicular Function (5 papers), Ovarian function and disorders (4 papers), DNA Repair Mechanisms (2 papers) and High Altitude and Hypoxia (2 papers). The work is most often cited by research in Reproductive Medicine (163 citations), Cell Biology (245 citations), Public Health, Environmental and Occupational Health (387 citations), Molecular Biology (583 citations) and Aging (11 citations). Wei Ma has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Maria M. Viveiros, Yi Hou, Qing‐Yuan Sun, Xiaofang Sun, Dong Zhang, Claudia Baumann, Yonghai Li, Xin Xie, Chuantao Zhang and Xiang Li. Their work appears in journals such as Biology of Reproduction, Cell Cycle, Reproduction, Reproduction Fertility and Development and Developmental 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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