Xinle Wu

2.8k citations
33 papers · 1.6k · h-index 20

Impact in

Papers in

Xinle Wu

33 papers receiving 1.6k citations

Peers

Xinle Wu
Comparison fields: 5 of 91
  • Clinical Biochemistry 142
  • Developmental Neuroscience 82
  • Molecular Biology 1.1k
  • Biochemistry 63
  • Cellular and Molecular Neuroscience 144
Replace Vijay P. Sarthy with:
Vijay P. Sarthy United States
Paul Van Veldhoven Belgium
Claudia Figueroa‐Romero United States
Mark O.M. Tso United States
Mario Alberghina Italy
Eva Trevisson Italy
Y. Eto Japan
Yun-Zheng Le United States
Zeqiu Han United States
Melanie A. Knight Australia
Xinle Wu relative to Vijay P. Sarthy United States Vijay P. Sarthy's profile →
Citations per field
00.5×1.5×1.8×
Vijay P. Sarthy · 1×
Citations per year

Countries citing papers authored by Xinle Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xinle Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009153
2 2004144
3 2018138
4 2007118
5 2005115
6 201091
7 200988
8 201282
9 200975
10 200872
11 199971
12 200368
13 201251
14 201346
15 200038
16 201238
17 200125
18 200925
19 201319
20 201119

About Xinle Wu

Xinle Wu is a scholar working on Molecular Biology, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Genetics and Biotechnology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (16 papers), Kruppel-like factors research (13 papers), Epigenetics and DNA Methylation (11 papers), Advanced Glycation End Products research (6 papers), Enzyme Production and Characterization (4 papers), Natural Antidiabetic Agents Studies (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Clinical Biochemistry (142 citations), Developmental Neuroscience (82 citations), Molecular Biology (1.1k citations), Biochemistry (63 citations) and Cellular and Molecular Neuroscience (144 citations). Xinle Wu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yang Li, Jamila Gupte, Vincent M. Monnier, Jennifer Weiszmann, Hongfei Ge, Richard Lindberg, Bryan D. Lemon, Paul J. Emmerson, Kevin L. Duffin and Sudhakar Chintharlapalli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry, Journal of Biological Chemistry, PLoS ONE and Journal of Molecular 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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