Neil Manowitz

3.0k citations
10 papers · 2.3k · 1 hit paper · h-index 8

Impact in

Papers in

Neil Manowitz

10 papers receiving 2.1k citations

Neil Manowitz's Hit Papers

The Colorado Thyroid Disease Prevalence Study 2000 · 2.1k citations
2.1k0+8+17Years since publication50010001.5k2.0k

Peers

Neil Manowitz
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Endocrine and Autonomic Systems 116
  • Pathology and Forensic Medicine 164
  • Pediatrics, Perinatology and Child Health 94
  • Reproductive Medicine 37
Replace Esteban Jódar with:
Esteban Jódar Spain
James W. Chu United States
Xiaochun Teng China
Chan‐Hee Jung South Korea
Fangzhen Xia China
Adam Stefański United States
Maria Alevizaki Greece
James R. Sowers United States
A. Bertoli Italy
Udaya M. Kabadi United States
Neil Manowitz relative to Esteban Jódar Spain Esteban Jódar's profile →
Citations per field
00.5×1.5×2.1×
Esteban Jódar · 1×
Citations per year

Countries citing papers authored by Neil Manowitz

Since Specialization
Citations

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

Fields of papers citing papers by Neil Manowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Neil Manowitz, 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 Neil Manowitz Line = papers co-authored together Neil Manowitz links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
The Colorado Thyroid Disease Prevalence Study
Hit paper breakdown →
20002110
2 198067
3 200332
4 199625
5 199614
6 200412
7 20029
8 19868
9 20026
10 20033

About Neil Manowitz

Neil Manowitz is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 10 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (3 papers), Thyroid Disorders and Treatments (3 papers), Blood Pressure and Hypertension Studies (2 papers), Pharmacy and Medical Practices (2 papers), Neuroscience of respiration and sleep (2 papers), Natural product bioactivities and synthesis (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Phytoestrogen effects and research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Endocrine and Autonomic Systems (116 citations), Pathology and Forensic Medicine (164 citations), Pediatrics, Perinatology and Child Health (94 citations) and Reproductive Medicine (37 citations). Neil Manowitz has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Gilbert H. Mayor, E. Chester Ridgway, G. Dewey Dunn, Larry L. Swift, Virgil S. LeQuire, Domenic Sica, William H. Frishman, Leslie J. DeGroot, Gregory L. Kearns and Susan M. Abdel‐Rahman. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of Lipid Research, Clinical Pharmacology & Therapeutics, Thyroid and Journal of Clinical Investigation.

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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