Patrick Lim

645 citations
12 papers · 523 · h-index 9

Impact in

Papers in

    • Redox biology and oxidative stress 2
    • Sexual Differentiation and Disorders 2
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
    • Estrogen and related hormone effects 2

Patrick Lim

12 papers receiving 513 citations

Peers

Patrick Lim
Comparison fields: 5 of 69
  • Reproductive Medicine 157
  • Endocrinology, Diabetes and Metabolism 134
  • Genetics 131
  • Public Health, Environmental and Occupational Health 99
  • Pulmonary and Respiratory Medicine 100
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Michelle Welsh United Kingdom
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Citations per field
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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

12 of 12 papers shown
#Work
1 2010135
2 2007128
3 200772
4 200962
5 201359
6 200823
7 200920
8
Abstract 15760: The Relationship Between Distinct Endothelial Progenitor Cell Populations and the Physiological Severity of Coronary Artery Disease in Humans
201112
9 20109
10 20121
11 20091
12 20081

About Patrick Lim

Patrick Lim is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 523 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Prostate Cancer Treatment and Research (3 papers), Sperm and Testicular Function (3 papers), Estrogen and related hormone effects (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 (157 citations), Endocrinology, Diabetes and Metabolism (134 citations), Genetics (131 citations), Public Health, Environmental and Occupational Health (99 citations) and Pulmonary and Respiratory Medicine (100 citations). Patrick Lim has collaborated with scholars based in Australia, Germany and Ireland. Frequent co-authors include David J. Handelsman, Charles M. Allan, Jeffrey D. Zajac, Rachel A. Davey, Mark Jimenez, Louise Dunn, M. Ng, Daniel Sieveking, David S. Celermajer and Renée Chow. Their work appears in journals such as Endocrinology, Circulation, The Journal of Cell Biology, Arteriosclerosis Thrombosis and Vascular Biology and The Journal of Experimental Medicine.

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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