Kaiman Peng

1.6k total citations · 1 hit paper
11 papers, 1.2k citations indexed

About

Kaiman Peng is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Kaiman Peng has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Kaiman Peng's work include Diabetes and associated disorders (2 papers), CRISPR and Genetic Engineering (2 papers) and Chromosomal and Genetic Variations (2 papers). Kaiman Peng is often cited by papers focused on Diabetes and associated disorders (2 papers), CRISPR and Genetic Engineering (2 papers) and Chromosomal and Genetic Variations (2 papers). Kaiman Peng collaborates with scholars based in Australia, Colombia and China. Kaiman Peng's co-authors include Andrzej Kilian, Ling Xia, Peter Wenzl, Eric Huttner, Damian Jaccoud, Grzegorz Uszyński, Jason Carling, Vanessa Caig, Margaret Evers and Katarzyna Heller-Uszyńska and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and Kidney International.

In The Last Decade

Kaiman Peng

11 papers receiving 1.1k citations

Hit Papers

Diversity Arrays Technology: A Generic Genome Profiling T... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaiman Peng Australia 9 535 414 256 230 144 11 1.2k
Jinian Feng China 16 283 0.5× 141 0.3× 308 1.2× 144 0.6× 74 0.5× 44 778
John H. Malone United States 18 595 1.1× 282 0.7× 660 2.6× 83 0.4× 84 0.6× 31 1.3k
Domitille Chalopin France 13 336 0.6× 454 1.1× 656 2.6× 110 0.5× 80 0.6× 22 1.1k
Edward J. Osborne United States 14 296 0.6× 507 1.2× 761 3.0× 252 1.1× 180 1.3× 17 1.5k
Émeline Lhuillier France 19 298 0.6× 192 0.5× 384 1.5× 36 0.2× 268 1.9× 29 963
Chizuko Nishida‐Umehara Japan 22 1.5k 2.8× 999 2.4× 690 2.7× 100 0.4× 85 0.6× 41 1.9k
Liandong Yang China 15 280 0.5× 84 0.2× 337 1.3× 125 0.5× 231 1.6× 54 809
Ismael Cross Spain 20 448 0.8× 505 1.2× 455 1.8× 59 0.3× 86 0.6× 49 851
Joseph P. Brunelli United States 13 527 1.0× 205 0.5× 365 1.4× 79 0.3× 115 0.8× 23 981
Andre A. Eggen France 20 1.7k 3.2× 586 1.4× 771 3.0× 92 0.4× 114 0.8× 36 2.3k

Countries citing papers authored by Kaiman Peng

Since Specialization
Citations

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

Fields of papers citing papers by Kaiman Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiman Peng

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

All Works

11 of 11 papers shown
1.
Johar, Angad, Claudio A. Mastronardi, Adriana Rojas‐Villarraga, et al.. (2015). Novel and rare functional genomic variants in multiple autoimmune syndrome and Sjögren’s syndrome. Journal of Translational Medicine. 13(1). 173–173. 27 indexed citations
3.
Kilian, Andrzej, Peter Wenzl, Eric Huttner, et al.. (2012). Diversity Arrays Technology: A Generic Genome Profiling Technology on Open Platforms. Methods in molecular biology. 888. 67–89. 685 indexed citations breakdown →
4.
Lim, Pek Siew, Kristine Hardy, Karen Bunting, et al.. (2009). Defining the chromatin signature of inducible genes in T cells. Genome biology. 10(10). R107–R107. 29 indexed citations
5.
Grayson, Trustees, Stephen Ohms, Kaiman Peng, et al.. (2007). Vascular microarray profiling in two models of hypertension identifies caveolin-1, Rgs2 and Rgs5 as antihypertensive targets. BMC Genomics. 8(1). 404–404. 30 indexed citations
6.
Horikawa, Keisuke, Stephen W. Martin, Sarah Pogue, et al.. (2007). Enhancement and suppression of signaling by the conserved tail of IgG memory–type B cell antigen receptors. The Journal of Experimental Medicine. 204(4). 759–769. 106 indexed citations
7.
Xia, Ling, Kaiman Peng, Shiying Yang, et al.. (2005). DArT for high-throughput genotyping of Cassava (Manihot esculenta) and its wild relatives. Theoretical and Applied Genetics. 110(6). 1092–1098. 110 indexed citations
8.
Huttner, Eric, Peter Wenzl, Mona Akbari, et al.. (2005). Diversity Arrays Technology: A Novel Tool for Harnessing the Genetic Potential of Orphan Crops. 11 indexed citations
9.
Liston, Adrian, Sylvie Lesage, Daniel H.D. Gray, et al.. (2004). Generalized Resistance to Thymic Deletion in the NOD Mouse. Immunity. 21(6). 817–830. 133 indexed citations
10.
Shannon, M, K MCKENZIE, Amanda J. Edgley, et al.. (2004). Optimizing microarray in experimental hypertension. Kidney International. 67(1). 364–370. 3 indexed citations
11.
Chu, Zhaohui, et al.. (2003). Construction and characterization of a normalized whole-life-cycle cDNA library of rice. Chinese Science Bulletin. 48(3). 229–235. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026