Xin Wu

6.9k citations
94 papers · 5.4k indexed · 2 hit papers · h-index 36
Topics
Reproductive Biology and Fertility (24 papers)Sperm and Testicular Function (24 papers)Renal and related cancers (9 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Xin Wu

90 papers receiving 5.3k citations

Hit Papers

Immunization reverses memory deficits without reducing br...200220262010201820022005200400600

Peers

Xin Wu
Comparison fields: 5 of 136
  • Molecular Biology 2.5k
  • Physiology 1.9k
  • Reproductive Medicine 1.1k
  • Public Health, Environmental and Occupational Health 898
  • Cellular and Molecular Neuroscience 891
Replace Hideyuki Yamamoto with:
Hideyuki Yamamoto Japan
Robert Layfield United Kingdom
Tsutomu Nakahara Japan
Gennaro Schettini Italy
Paul R. Heath United Kingdom
Li‐Na Wei United States
Jian Fei China
Xing‐Mei Zhang Sweden
Changlu Liu United States
Eric L. Gustafson United States
Xin Wu relative to Hideyuki Yamamoto Japan Hideyuki Yamamoto's profile →
Citations per field
00.5×
Hideyuki Yamamoto · 1×
Citations per year

Countries citing papers authored by Xin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Wu. A scholar is included among the top collaborators of Xin Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xin Wu. Xin Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 3
6 4
7 5
8 2
9 16
10 2
11 7
12 16
13 4
14 28
15 110
16 85
17 39
18 135
19 42
20
Cloning and expression of a rat brain interleukin-1beta-converting enzyme (ICE)-related protease (IRP) and its possible role in apoptosis of cultured cerebellar granule neurons
9

About Xin Wu

Xin Wu is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Cancer Research, having authored 94 papers that have together received 5.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (24 papers), Sperm and Testicular Function (24 papers) and Renal and related cancers (9 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Neurology (662 citations) and Physiology (1.9k citations). Xin Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Steven M. Paul, Kelly R. Bales, Ralph L. Brinster, Mary R. Avarbock, Binhui Ni, John W. Tobias, Feng Liu, Su Yuan, Ronald B. DeMattos and Shaun M. Goodyear. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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