Kaiman Peng

1.6k citations
11 papers · 1.2k indexed · 1 hit paper · h-index 9
Topics
Diabetes and associated disorders (2 papers)CRISPR and Genetic Engineering (2 papers)Chromosomal and Genetic Variations (2 papers)
Partner nations
AustraliaColombiaChina

In The Last Decade

Kaiman Peng

11 papers receiving 1.1k citations

Hit Papers

Diversity Arrays Technology: A Generic Genome Profiling T...20122026201620212012200400600

Peers

Kaiman Peng
Comparison fields: 5 of 83
  • Genetics 535
  • Plant Science 414
  • Molecular Biology 256
  • Immunology 230
  • Ecology 144
Replace Jinian Feng with:
Jinian Feng China
Edward J. Osborne United States
Émeline Lhuillier France
C.K. Watanabe Japan
Domitille Chalopin France
C. Ruíz Rejón Spain
Marco Blanchette United States
Andre A. Eggen France
Junjie Shi China
Sergi Beltrán Spain
Kaiman Peng relative to Jinian Feng China Jinian Feng's profile →
Citations per field
00.5×3.5×
Jinian Feng · 1×
Citations per year

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
#WorkIndexed citations
1 27
2 2
3
Diversity Arrays Technology: A Generic Genome Profiling Technology on Open Platformsbreakdown →
685
4 29
5 30
6 106
7 110
8
Diversity Arrays Technology: A Novel Tool for Harnessing the Genetic Potential of Orphan Crops
11
9 133
10 3
11 20

About Kaiman Peng

Kaiman Peng is a scholar working on Genetics, Immunology and Pharmacology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (2 papers), CRISPR and Genetic Engineering (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Genetics (535 citations), Horticulture (17 citations) and Plant Science (414 citations). Kaiman Peng has collaborated with scholars based in Australia, Colombia and China. Frequent 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. Their work appears in journals such as The Journal of Experimental Medicine, Immunity and Kidney International.

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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