Xiaojie Li

33 papers receiving 627 citations

Peers

Xiaojie Li
Comparison fields: 5 of 100
  • Neurology 174
  • Neurology 84
  • Developmental Neuroscience 38
  • Cellular and Molecular Neuroscience 150
  • Oceanography 86
Replace Masaki Kobayashi with:
Masaki Kobayashi Japan
Alexandra Dumitriu United States
Xingfeng Liu China
Carolyn A. Rankin United States
Thomas Wallach Germany
Robert A. Menzies United States
Nicolas Delcourt France
Bryce A. Mendelsohn United States
An‐Ping Chen United States
Kyoung Sun Park South Korea
Xiaojie Li relative to Masaki Kobayashi Japan Masaki Kobayashi's profile →
Citations per field
00.5×4.8×
Masaki Kobayashi · 1×
Citations per year

Countries citing papers authored by Xiaojie Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016145
2 200995
3 201046
4 201544
5 201537
6 201636
7 201532
8 200924
9 201320
10 201219
11 202118
12 201714
13 202111
14 202311
15 202410
16 20239
17 20209
18 20209
19 20247
20
A study on a possibility of predicting early relapse in leprosy using a ND-O-BSA based ELISA.
20027

About Xiaojie Li

Xiaojie Li is a scholar working on Oceanography, Epidemiology, Public Health, Environmental and Occupational Health, Neurology and Ecology, Evolution, Behavior and Systematics, having authored 34 papers that have together received 635 indexed citations. Recurring topics across this work include Marine and coastal plant biology (7 papers), Genetic diversity and population structure (3 papers), International Student and Expatriate Challenges (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Higher Education Governance and Development (3 papers), Reproductive Health and Technologies (3 papers), Bryophyte Studies and Records (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Neurology (174 citations), Neurology (84 citations), Developmental Neuroscience (38 citations), Cellular and Molecular Neuroscience (150 citations) and Oceanography (86 citations). Xiaojie Li has collaborated with scholars based in China, United States and Panama. Frequent co-authors include Valina L. Dawson, Ted M. Dawson, Linan Zhang, Jenny J. Lee, Luyong Zhang, Zhenzhou Jiang, Shaojie Wang, Darren J. Moore, Yulan Xiong and Cuiju Cui. Their work appears in journals such as Journal of Applied Phycology, Hepatology Research, BMC Genomics, Environment International and Review of higher education/˜The œreview of higher education.

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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