Patrick Lim

13 papers receiving 480 citations

Peers

Patrick Lim
Comparison fields: 5 of 72
  • Reproductive Medicine 160
  • Endocrinology, Diabetes and Metabolism 141
  • Genetics 128
  • Public Health, Environmental and Occupational Health 109
  • Pulmonary and Respiratory Medicine 102
Replace Eef Hoeben with:
Eef Hoeben Belgium
A. Bennet France
Fuping Zhang China
Esperanza Berensztein Argentina
R B Jaffe United States
Florence Roucher‐Boulez France
Soichiro Shizawa Japan
Carolina Rosselot United States
Sylwia Słuczanowska-Głąbowska Poland
R J Santen United States
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Citations per field
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Eef Hoeben · 1×
Citations per year

Countries citing papers authored by Patrick Lim

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010121
2 2007120
3 200767
4 201357
5 200956
6 200821
7 200919
8
Abstract 15760: The Relationship Between Distinct Endothelial Progenitor Cell Populations and the Physiological Severity of Coronary Artery Disease in Humans
201111
9 20107
10 20243
11 20121
12 20091
13 20081

About Patrick Lim

Patrick Lim is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Genetics, Biochemistry and Cancer Research, having authored 13 papers that have together received 485 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (4 papers), Prostate Cancer Treatment and Research (3 papers), Sperm and Testicular Function (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Redox biology and oxidative stress (2 papers), Sexual Differentiation and Disorders (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Reproductive Medicine (160 citations), Endocrinology, Diabetes and Metabolism (141 citations), Genetics (128 citations), Public Health, Environmental and Occupational Health (109 citations) and Pulmonary and Respiratory Medicine (102 citations). Patrick Lim has collaborated with scholars based in Australia, United States and India. Frequent co-authors include David J. Handelsman, Charles M. Allan, Jeffrey D. Zajac, Rachel A. Davey, M. Ng, Louise Dunn, Mark Jimenez, Renée Chow, David S. Celermajer and Daniel Sieveking. Their work appears in journals such as Endocrinology, Circulation, The Journal of Cell Biology, American Journal of Physiology-Endocrinology and Metabolism and Reproduction Fertility and Development.

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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