Peey‐Sei Kok

35 papers receiving 573 citations

Peers

Peey‐Sei Kok
Comparison fields: 5 of 50
  • Obstetrics and Gynecology 112
  • Reproductive Medicine 67
  • Oncology 175
  • Pulmonary and Respiratory Medicine 201
  • Biotechnology 30
Replace Grazia Artioli with:
Grazia Artioli Italy
Sarper Toker United States
M. Valeria Cáceres France
A. Badzio Poland
Michelle Grogan Australia
Michael Coutts United Kingdom
Mignon-Denise Keyver-Paik Germany
Yangkui Gu China
Michel Coibion Belgium
Nicoletta D’Alessandris Italy
Peey‐Sei Kok relative to Grazia Artioli Italy Grazia Artioli's profile →
Citations per field
00.5×5.7×
Grazia Artioli · 1×
Citations per year

Countries citing papers authored by Peey‐Sei Kok

Since Specialization
Citations

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

Fields of papers citing papers by Peey‐Sei Kok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peey‐Sei Kok. 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 Peey‐Sei Kok. The network helps show where Peey‐Sei Kok may publish in the future.

Co-authors

The 25 scholars most cited alongside Peey‐Sei Kok, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peey‐Sei Kok Line = papers co-authored together Peey‐Sei Kok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020120
2 202187
3 201940
4 202035
5 201730
6 201629
7 201828
8 202223
9 202122
10 201722
11 202221
12 201920
13 201919
14 201817
15 202212
16 201711
17 20217
18 20176
19 20185
20 20174

About Peey‐Sei Kok

Peey‐Sei Kok is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology, Cancer Research and Biotechnology, having authored 40 papers that have together received 583 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Endometrial and Cervical Cancer Treatments (9 papers), Cancer Genomics and Diagnostics (8 papers), Occupational and environmental lung diseases (7 papers), Cancer Research and Treatments (5 papers), Lung Cancer Treatments and Mutations (5 papers), Genetic factors in colorectal cancer (4 papers) and Enhanced Recovery After Surgery (2 papers). The work is most often cited by research in Obstetrics and Gynecology (112 citations), Reproductive Medicine (67 citations), Oncology (175 citations), Pulmonary and Respiratory Medicine (201 citations) and Biotechnology (30 citations). Peey‐Sei Kok has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Martin R. Stockler, Michael Friedländer, Sonia Yip, Chee Khoon Lee, Thomas John, Ian C. Marschner, Kenneth J. O’Byrne, Anna K. Nowak, W. Joost Lesterhuis and Chris Brown. Their work appears in journals such as Journal of Clinical Oncology, Journal of Thoracic Oncology, Annals of Oncology, International Journal of Gynecological Cancer and JCO Precision Oncology.

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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