Ching Chun Li

756 total citations · 1 hit paper
10 papers, 635 citations indexed

About

Ching Chun Li is a scholar working on Genetics, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Ching Chun Li has authored 10 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Statistics and Probability. Recurrent topics in Ching Chun Li's work include Evolution and Genetic Dynamics (3 papers), Genetic Associations and Epidemiology (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Ching Chun Li is often cited by papers focused on Evolution and Genetic Dynamics (3 papers), Genetic Associations and Epidemiology (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Ching Chun Li collaborates with scholars based in United States. Ching Chun Li's co-authors include Aravinda Chakravarti, Kenneth H. Buetow, G. Rex Bryce, Sati Mazumdar, D. C. Rao, Aravinda Chakravarti, Judith A. Badner, Sati Mazumdar and Daniel Zelterman and has published in prestigious journals such as Journal of the American Statistical Association, The American Statistician and Forensic Science International.

In The Last Decade

Ching Chun Li

10 papers receiving 524 citations

Hit Papers

Path analysis - a primer. 1975 2026 1992 2009 1975 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ching Chun Li United States 7 150 137 132 78 67 10 635
Gregg Hartvigsen United States 10 70 0.5× 150 1.1× 76 0.6× 178 2.3× 139 2.1× 23 502
Myra L. Samuels United States 11 75 0.5× 31 0.2× 80 0.6× 26 0.3× 68 1.0× 25 714
Samuel Mendlinger Israel 18 218 1.5× 245 1.8× 437 3.3× 215 2.8× 76 1.1× 29 806
W. E. Knight United States 16 36 0.2× 51 0.4× 183 1.4× 109 1.4× 86 1.3× 67 1.0k
Peter Jackson United States 13 61 0.4× 201 1.5× 169 1.3× 75 1.0× 150 2.2× 51 630
Richard Richard United Kingdom 12 59 0.4× 98 0.7× 59 0.4× 27 0.3× 46 0.7× 54 424
Patrice Loisel France 14 98 0.7× 215 1.6× 60 0.5× 69 0.9× 325 4.9× 35 793
Robert L. Green United States 13 279 1.9× 27 0.2× 124 0.9× 103 1.3× 183 2.7× 54 916
O. Mayo Australia 15 429 2.9× 125 0.9× 234 1.8× 29 0.4× 38 0.6× 84 982
Holt United States 13 160 1.1× 139 1.0× 86 0.7× 112 1.4× 101 1.5× 26 873

Countries citing papers authored by Ching Chun Li

Since Specialization
Citations

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

Fields of papers citing papers by Ching Chun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ching Chun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ching Chun Li. A scholar is included among the top collaborators of Ching Chun Li 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 Ching Chun Li. Ching Chun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Li, Ching Chun & Aravinda Chakravarti. (1994). DNA Profile Similarity in a Subdivided Population. Human Heredity. 44(2). 100–109. 9 indexed citations
2.
Chakravarti, Aravinda, Judith A. Badner, Ching Chun Li, & D. C. Rao. (1987). Tests of linkage and heterogeneity in Mendelian diseases using identity by descent scores. Genetic Epidemiology. 4(4). 255–266. 17 indexed citations
3.
Zelterman, Daniel & Ching Chun Li. (1985). Analysis of Unbalanced Data: A Pre-Program Introduction.. Journal of the American Statistical Association. 80(391). 790–790. 1 indexed citations
4.
Li, Ching Chun, et al.. (1984). Estimation of the marker gene frequency and linkage disequilibrium from conditional marker data.. PubMed. 36(1). 177–86. 22 indexed citations
5.
Chakravarti, Aravinda & Ching Chun Li. (1984). Estimating the prior probability of paternity from the results of exclusion tests. Forensic Science International. 24(2). 143–147. 6 indexed citations
6.
Mazumdar, Sati, et al.. (1980). Correspondence Between a Linear Restriction and a Generalized Inverse in Linear Model Analysis. The American Statistician. 34(2). 103–103. 6 indexed citations
7.
Mazumdar, Sati, Ching Chun Li, & G. Rex Bryce. (1980). Correspondence between a Linear Restriction and a Generalized Inverse in Linear Model Analysis. The American Statistician. 34(2). 103–105. 15 indexed citations
8.
Li, Ching Chun. (1978). On measuring genetic distance by selection intensity. Annals of Human Genetics. 41(4). 501–504. 1 indexed citations
9.
Li, Ching Chun. (1975). Path analysis - a primer.. Medical Entomology and Zoology. 499 indexed citations breakdown →
10.
Li, Ching Chun. (1961). Human genetics : principles and methods. McGraw-Hill eBooks. 59 indexed citations

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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