Porsha Smith

19 papers receiving 630 citations

Peers

Porsha Smith
Comparison fields: 5 of 82
  • Equine 40
  • Endocrinology, Diabetes and Metabolism 143
  • Endocrine and Autonomic Systems 42
  • Reproductive Medicine 47
  • Public Health, Environmental and Occupational Health 141
Replace Stephen M. Sladek with:
Stephen M. Sladek United States
G. Thomas United States
Changaram S. Venugopal United States
R. Sangha United Kingdom
M. Corrigan Ireland
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S. S. LYNCH United Kingdom
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Citations per year

Countries citing papers authored by Porsha Smith

Since Specialization
Citations

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

Fields of papers citing papers by Porsha Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2001221
2
Development of the sheep ovary during fetal and early neonatal life and the effect of fecundity genes.
1995108
3 201375
4 201144
5 198541
6 201034
7 197728
8 201125
9 201321
10 198320
11 199813
12 199813
13 19778
14
Pulmonary peptides, norepinephrine and endocrine cells in monocrotaline pulmonary hypertension.
19918
15 19674
16 20112
17
Nonconforming Action-Potentials from Isolated Mouse Islets of Langerhans
19872
18 20021
19 19941

About Porsha Smith

Porsha Smith is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Neurology and Endocrine and Autonomic Systems, having authored 19 papers that have together received 669 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Diabetes Treatment and Management (2 papers), Cancer-related gene regulation (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Regulation of Appetite and Obesity (2 papers), Diabetes Management and Research (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Equine (40 citations), Endocrinology, Diabetes and Metabolism (143 citations), Endocrine and Autonomic Systems (42 citations), Reproductive Medicine (47 citations) and Public Health, Environmental and Occupational Health (141 citations). Porsha Smith has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Luca D’Angelo, D. J. Tisdall, R. Braw–Tal, N. L. Hudson, D. A. Heath, R. M. Case∥, Theresa M. Marteau, D. Walters, L J Borthwick and Stefano Pileri. Their work appears in journals such as Hormone and Metabolic Research, Diabetes Obesity and Metabolism, Diabetic Medicine, Blood and Gut.

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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