Jinchuan Xing

54.3k citations
106 papers · 5.5k indexed · 1 hit paper · h-index 42

Jinchuan Xing

104 papers receiving 5.4k citations

Hit Papers

Genetic Evidence for High-Altitude Adaptation in Tibet8622010202620152020250500750

Peers

Jinchuan Xing
Comparison fields: 5 of 154
  • Genetics 2.5k
  • Plant Science 1.8k
  • Molecular Biology 3.1k
  • Developmental Biology 72
  • Cancer Research 468
Replace Wesley C. Warren with:
Wesley C. Warren United States
George H. Perry United States
Matthew T. Webster Sweden
Stephen J. O’Brien United States
Nick Patterson United States
Anders Albrechtsen Denmark
Anna Di Rienzo United States
Alain Vignal France
Kiyoshi Naruse Japan
Lalji Singh India
Jinchuan Xing relative to Wesley C. Warren United States Wesley C. Warren's profile →
Citations per field
00.5×1.5×1.8×
Wesley C. Warren · 1×
Citations per year

Countries citing papers authored by Jinchuan Xing

Since Specialization
Citations

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

Fields of papers citing papers by Jinchuan Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20231
5 20236
6 20231
7 202144
8 202018
9 20208
10 20203
11 201945
12 201921
13 201957
14 201857
15 201873
16 201615
17 20153
18 201438
19
Genetic Evidence for High-Altitude Adaptation in Tibetbreakdown →
2010862
20 200988

About Jinchuan Xing

Jinchuan Xing is a scholar working on Genetics, Plant Science and Molecular Biology, having authored 106 papers that have together received 5.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (37 papers), Genomics and Phylogenetic Studies (34 papers), RNA and protein synthesis mechanisms (16 papers), Genomic variations and chromosomal abnormalities (14 papers), Genetic diversity and population structure (11 papers), Forensic and Genetic Research (9 papers), Prenatal Screening and Diagnostics (9 papers) and Genetic Associations and Epidemiology (8 papers). The work is most often cited by research in Genetics (2.5k citations), Plant Science (1.8k citations) and Molecular Biology (3.1k citations). Jinchuan Xing has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include Mark A. Batzer, Lynn B. Jorde, David J. Witherspoon, Chad D. Huff, Dale J. Hedges, Tatum S. Simonson, Kyudong Han, W. Scott Watkins, David A. Ray and Qin Ga. 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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