Xiaojing Lin

81 papers receiving 1.1k citations

Peers

Xiaojing Lin
Comparison fields: 5 of 142
  • Radiation 130
  • Hepatology 80
  • Instrumentation 34
  • Radiological and Ultrasound Technology 44
  • Epidemiology 235
Replace Charles V. Smith with:
Charles V. Smith United States
Kosuke Saito Japan
Hiroshi Taguchi Japan
Christine B. Peterson United States
Vinita Chauhan Canada
Hiroyuki Nishida Japan
Donghai Zhao China
Hiroaki Nishimura Japan
Masatoshi Nakamura Japan
Michael Clark United Kingdom
Xiaojing Lin relative to Charles V. Smith United States Charles V. Smith's profile →
Citations per field
00.5×10×20×30×43.3×
Charles V. Smith · 1×
Citations per year

Countries citing papers authored by Xiaojing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200991
2 200876
3 201770
4 201044
5 201244
6 200744
7 201137
8 200635
9 201033
10 199733
11 201832
12 201932
13 201130
14 202227
15 201026
16 202123
17 202223
18 202322
19 200921
20 201619

About Xiaojing Lin

Xiaojing Lin is a scholar working on Molecular Biology, Epidemiology, Astronomy and Astrophysics, Radiation and Physiology, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Respiratory viral infections research (9 papers), Galaxies: Formation, Evolution, Phenomena (9 papers), Nuclear Physics and Applications (9 papers), Adipose Tissue and Metabolism (4 papers), Neuropeptides and Animal Physiology (4 papers), Nuclear reactor physics and engineering (4 papers) and Gout, Hyperuricemia, Uric Acid (4 papers). The work is most often cited by research in Radiation (130 citations), Hepatology (80 citations), Instrumentation (34 citations), Radiological and Ultrasound Technology (44 citations) and Epidemiology (235 citations). Xiaojing Lin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include R. Henkelmann, F. Liu, Changchun Wu, Xuemei Lian, Long‐Chuan Yu, Yunyun He, Yue Wang, Lingli Liu, Jia Wu and Fengwei Zhang. Their work appears in journals such as The Astrophysical Journal Letters, Journal of Radioanalytical and Nuclear Chemistry, Biochemical and Biophysical Research Communications, The Astrophysical Journal Supplement Series and PLoS ONE.

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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