Pai C. Kao

2.7k citations
53 papers · 2.0k · h-index 24

Impact in

  • Nephrology top 1%
    • Parathyroid Disorders and Treatments
    • Pituitary Gland Disorders and Treatments
    • Hormonal Regulation and Hypertension
    • Growth Hormone and Insulin-like Growth Factors
    • Adrenal Hormones and Disorders

Papers in

Pai C. Kao

53 papers receiving 1.9k citations

Peers

Pai C. Kao
Comparison fields: 5 of 122
  • Nephrology 392
  • Endocrinology, Diabetes and Metabolism 549
  • Behavioral Neuroscience 88
  • Gastroenterology 124
  • Nutrition and Dietetics 173
Replace Arnold M. Moses with:
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Pai C. Kao relative to Arnold M. Moses United States Arnold M. Moses's profile →
Citations per field
00.5×7.3×
Arnold M. Moses · 1×
Citations per year

Countries citing papers authored by Pai C. Kao

Since Specialization
Citations

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

Fields of papers citing papers by Pai C. Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pai C. Kao. 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 Pai C. Kao. The network helps show where Pai C. Kao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994223
2 1987179
3 1983139
4 2000112
5 1997111
6 198382
7
Serum C-reactive protein as a marker for wellness assessment.
200680
8 198470
9 199167
10 199062
11 198559
12 198858
13 199453
14 198451
15 199549
16
Diagnosis of adrenal cortical dysfunction by liquid chromatography-tandem mass spectrometry.
200148
17 199046
18 199541
19 200041
20 198138

About Pai C. Kao

Pai C. Kao is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Nephrology and Surgery, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Parathyroid Disorders and Treatments (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Bone health and treatments (6 papers), Neuropeptides and Animal Physiology (4 papers), Hormonal Regulation and Hypertension (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Nephrology (392 citations), Endocrinology, Diabetes and Metabolism (549 citations), Behavioral Neuroscience (88 citations), Gastroenterology (124 citations) and Nutrition and Dietetics (173 citations). Pai C. Kao has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include George G. Klee, Vay Liang W. Go, Robert L. Taylor, Hunter Heath, Rajiv Kumar, Dwaine Machacek, Nai‐Siang Jiang, Stephen F. Hodgson, David S. Hage and Qiang Cai. Their work appears in journals such as Mayo Clinic Proceedings, The Journal of Clinical Endocrinology & Metabolism, The American Journal of Medicine, Blood and Endocrine Practice.

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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