Peng Yeong Woon

1.7k citations
29 papers · 1.3k indexed · h-index 14
Topics
Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers)Immune Cell Function and Interaction (3 papers)Pancreatic function and diabetes (3 papers)

In The Last Decade

Peng Yeong Woon

29 papers receiving 1.3k citations

Peers

Peng Yeong Woon
Comparison fields: 5 of 102
  • Molecular Biology 632
  • Genetics 320
  • Endocrine and Autonomic Systems 284
  • Physiology 271
  • Plant Science 159
Replace Tsuyoshi Takagi with:
Tsuyoshi Takagi Japan
Yoshihiko Hosoi Japan
PRISCILLA W. LANE United States
Cynthia Klein United States
Christi M. Gendron United States
Nobuhiko Yamauchi Japan
Félix de Carlos Villafranca Spain
Michiko Horiguchi Japan
Teresa M. McShane United States
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Peng Yeong Woon relative to Tsuyoshi Takagi Japan Tsuyoshi Takagi's profile →
Citations per field
00.5×3.9×
Tsuyoshi Takagi · 1×
Citations per year

Countries citing papers authored by Peng Yeong Woon

Since Specialization
Citations

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

Fields of papers citing papers by Peng Yeong Woon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Yeong Woon

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 13
3 4
4 11
5 3
6 17
7 36
8 9
9 23
10 11
11 318
12 3
13 15
14 67
15
Bacterial artificial chromosome libraries for mouse sequencing and functional analysis.
239
16 251
17 56
18 21
19 8
20 4

About Peng Yeong Woon

Peng Yeong Woon is a scholar working on Biochemistry, Endocrine and Autonomic Systems and Genetics, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Immune Cell Function and Interaction (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (284 citations), Aging (61 citations) and Genetics (320 citations). Peng Yeong Woon has collaborated with scholars based in United Kingdom, Taiwan and United States. Frequent co-authors include Kazutoyo Osoegawa, Joseph J. Catanese, Dominique Gauguier, Eirik Frengen, Pamela J. Kaisaki, Martin Farrall, J Lévy, Marie‐Thérèse Bihoreau, José Bragança and Baohui Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Diabetes.

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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