Yurong Xin

4.2k total citations · 1 hit paper
43 papers, 2.3k citations indexed

About

Yurong Xin is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Yurong Xin has authored 43 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Surgery and 16 papers in Genetics. Recurrent topics in Yurong Xin's work include Pancreatic function and diabetes (20 papers), Epigenetics and DNA Methylation (9 papers) and Diabetes and associated disorders (8 papers). Yurong Xin is often cited by papers focused on Pancreatic function and diabetes (20 papers), Epigenetics and DNA Methylation (9 papers) and Diabetes and associated disorders (8 papers). Yurong Xin collaborates with scholars based in United States, China and United Kingdom. Yurong Xin's co-authors include Jesper Gromada, George D. Yancopoulos, Andrew Murphy, Haruka Okamoto, Jinrang Kim, Min Ni, Christina Adler, Yi Wei, Calvin Lin and Fatemeh Haghighi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Yurong Xin

43 papers receiving 2.3k citations

Hit Papers

RNA Sequencing of Single Human Islet Cells Reveals Type 2... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Yurong Xin
Comparison fields: 5 of 112
  • Molecular Biology 1.2k
  • Surgery 856
  • Endocrinology, Diabetes and Metabolism 587
  • Genetics 546
  • Cardiology and Cardiovascular Medicine 370
Replace Ute I. Scholl with:
Ute I. Scholl Germany
Jörg Hager France
Adrian J. L. Clark United Kingdom
Masanobu Yamada Japan
Charles R. Lane United States
Kyoung-Han Kim Canada
S S Deeb United States
David A. Katz United States
Pamela J. Kaisaki United Kingdom
Karen E. Sheppard Australia
Ute I. Scholl Germany View profile →
Citations per field, relative to Yurong Xin
Yurong Xin · 1×
Citations per year, relative to Yurong Xin
Yurong Xin · 1×

Countries citing papers authored by Yurong Xin

Since Specialization
Citations

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

Fields of papers citing papers by Yurong Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yurong Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Yurong Xin. A scholar is included among the top collaborators of Yurong Xin 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 Yurong Xin. Yurong Xin 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
# Work Indexed citations
1 25
2 72
3 29
4 33
5 40
6 23
7
RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes breakdown →
439
8 55
9 165
10 132
11 171
12 16
13 27
14 31
15 22
16 50
17 32
18 89
19 50
20 2

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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