Jay Wimalasena

59 papers receiving 3.3k citations

Peers

Jay Wimalasena
Comparison fields: 5 of 116
  • Reproductive Medicine 475
  • Genetics 1.0k
  • Oncology 942
  • Molecular Biology 1.7k
  • Cancer Research 362
Replace Guojun Cheng with:
Guojun Cheng Sweden
Salman M. Hyder United States
J. Dinny Graham Australia
Julie M. Hall United States
Steven K. Nordeen United States
F. Bayard France
Monica M. Montano United States
Jean‐Marc Bornert France
Ferdinando Auricchio Italy
Jan Polman Netherlands
Jay Wimalasena relative to Guojun Cheng Sweden Guojun Cheng's profile →
Citations per field
00.5×1.6×
Guojun Cheng · 1×
Citations per year

Countries citing papers authored by Jay Wimalasena

Since Specialization
Citations

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

Fields of papers citing papers by Jay Wimalasena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay Wimalasena, 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 Jay Wimalasena Line = papers co-authored together Jay Wimalasena links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004450
2 1998325
3 1999198
4 1996198
5 2001167
6 2001159
7 1996153
8 2004109
9 2001105
10 200384
11 200383
12 200382
13 199380
14 199777
15 200569
16 199568
17 200666
18 199265
19 199561
20 199557

About Jay Wimalasena

Jay Wimalasena is a scholar working on Molecular Biology, Oncology, Genetics, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 59 papers that have together received 3.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (16 papers), Cancer-related Molecular Pathways (15 papers), Reproductive Biology and Fertility (10 papers), Reproductive Physiology in Livestock (8 papers), Hypothalamic control of reproductive hormones (5 papers), Pregnancy and preeclampsia studies (5 papers), Ovarian cancer diagnosis and treatment (5 papers) and Retinoids in leukemia and cellular processes (4 papers). The work is most often cited by research in Reproductive Medicine (475 citations), Genetics (1.0k citations), Oncology (942 citations), Molecular Biology (1.7k citations) and Cancer Research (362 citations). Jay Wimalasena has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include James S. Foster, Antonín Bukovský, Donald C. Henley, Anders Ström, Romaine I. Fernando, Jan-Ακε Gustafsson, Johan Hartman, Silke Kietz, Hidenori Ichijo and Michael R. Caudle. Their work appears in journals such as Biology of Reproduction, Journal of Biological Chemistry, Alcoholism Clinical and Experimental Research, Cancer Research and Molecular Carcinogenesis.

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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