Jiangzhen Li

1.4k total citations
8 papers, 946 citations indexed

About

Jiangzhen Li is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jiangzhen Li has authored 8 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jiangzhen Li's work include Genomic variations and chromosomal abnormalities (5 papers), Chromosomal and Genetic Variations (3 papers) and Prenatal Screening and Diagnostics (3 papers). Jiangzhen Li is often cited by papers focused on Genomic variations and chromosomal abnormalities (5 papers), Chromosomal and Genetic Variations (3 papers) and Prenatal Screening and Diagnostics (3 papers). Jiangzhen Li collaborates with scholars based in United States, China and Canada. Jiangzhen Li's co-authors include Chad A. Shaw, Sau Wai Cheung, David Barker, Weihua Chang, Jennie Le, Frank J. Steemers, Kevin L. Gunderson, Daniel A. Peiffer, Richard Shen and A. Craig Chinault and has published in prestigious journals such as Nature Genetics, PLoS ONE and Oncogene.

In The Last Decade

Jiangzhen Li

8 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangzhen Li United States 8 751 418 294 217 126 8 946
Stephen Laderman United States 4 541 0.7× 436 1.0× 126 0.4× 211 1.0× 107 0.8× 4 783
James Tepperberg United States 15 532 0.7× 362 0.9× 284 1.0× 149 0.7× 84 0.7× 28 889
Merete Bugge Denmark 10 584 0.8× 935 2.2× 146 0.5× 107 0.5× 71 0.6× 15 1.2k
Anita S. Kulharya United States 14 452 0.6× 509 1.2× 147 0.5× 106 0.5× 60 0.5× 31 843
Franck Court France 19 416 0.6× 888 2.1× 257 0.9× 87 0.4× 196 1.6× 37 1.0k
Christa M. Lese United States 8 438 0.6× 313 0.7× 157 0.5× 168 0.8× 50 0.4× 12 598
Thue Bryndorf Denmark 16 516 0.7× 272 0.7× 445 1.5× 217 1.0× 83 0.7× 29 997
M.A. Hultén United Kingdom 15 440 0.6× 447 1.1× 324 1.1× 263 1.2× 61 0.5× 20 930
A. Rodewald Germany 17 552 0.7× 218 0.5× 170 0.6× 154 0.7× 50 0.4× 41 726
Kathryn Woodfine United Kingdom 14 597 0.8× 1.0k 2.5× 295 1.0× 100 0.5× 123 1.0× 16 1.1k

Countries citing papers authored by Jiangzhen Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiangzhen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangzhen Li

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

All Works

8 of 8 papers shown
1.
Liang, Xiaoyu, et al.. (2022). Effectiveness of self-efficacy-enhancing interventions on rehabilitation following total hip replacement: a randomized controlled trial with six-month follow-up. Journal of Orthopaedic Surgery and Research. 17(1). 225–225. 13 indexed citations
2.
Lu, Xinyan, Chad A. Shaw, Ankita Patel, et al.. (2007). Clinical Implementation of Chromosomal Microarray Analysis: Summary of 2513 Postnatal Cases. PLoS ONE. 2(3). e327–e327. 147 indexed citations
3.
Cheung, Sau Wai, Chad A. Shaw, Daryl A. Scott, et al.. (2007). Microarray‐based CGH detects chromosomal mosaicism not revealed by conventional cytogenetics. American Journal of Medical Genetics Part A. 143A(15). 1679–1686. 140 indexed citations
4.
Probst, Frank J., Elizabeth Roeder, Zhishuo Ou, et al.. (2007). Chromosomal microarray analysis (CMA) detects a large X chromosome deletion including FMR1, FMR2, and IDS in a female patient with mental retardation. American Journal of Medical Genetics Part A. 143A(12). 1358–1365. 44 indexed citations
5.
Peiffer, Daniel A., Jennie Le, Frank J. Steemers, et al.. (2006). High-resolution genomic profiling of chromosomal aberrations using Infinium whole-genome genotyping. Genome Research. 16(9). 1136–1148. 373 indexed citations
6.
Sahoo, Trilochan, Sau Wai Cheung, Patricia A. Ward, et al.. (2006). Prenatal diagnosis of chromosomal abnormalities using array-based comparative genomic hybridization. Genetics in Medicine. 8(11). 719–727. 128 indexed citations
7.
Mao, Jian‐Hua, Jiangzhen Li, Tao Jiang, et al.. (2005). Genomic instability in radiation-induced mouse lymphoma from p53 heterozygous mice. Oncogene. 24(53). 7924–7934. 24 indexed citations
8.
Li, Jiangzhen, Tao Jiang, Jian‐Hua Mao, et al.. (2004). Genomic segmental polymorphisms in inbred mouse strains. Nature Genetics. 36(9). 952–954. 77 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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