A.C. Parekh

656 citations
18 papers · 596 · h-index 10

Impact in

Papers in

A.C. Parekh

18 papers receiving 510 citations

Peers

A.C. Parekh
Comparison fields: 5 of 106
  • Pharmacology 74
  • Endocrinology, Diabetes and Metabolism 112
  • Complementary and alternative medicine 48
  • Nephrology 41
  • Drug Discovery 1
Replace P. D. Leathwood with:
P. D. Leathwood United Kingdom
Karl F. Swingle United States
Keishi Hata Japan
Noémi Prajda United States
Theodore W. Esders United States
Eduardo Aranda Mexico
L. Mahraoui France
Wing Ping Fong Hong Kong
Martha I. Walters United States
Svetlana Dinić Serbia
A.C. Parekh relative to P. D. Leathwood United Kingdom P. D. Leathwood's profile →
Citations per field
00.5×3.4×
P. D. Leathwood · 1×
Citations per year

Countries citing papers authored by A.C. Parekh

Since Specialization
Citations

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

Fields of papers citing papers by A.C. Parekh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside A.C. Parekh, 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 A.C. Parekh Line = papers co-authored together A.C. Parekh links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1970341
2 197042
3 197039
4 196229
5 197028
6 197027
7 197617
8 197113
9 197712
10 197710
11 19879
12 19766
13 19725
14 19754
15 19754
16 19754
17 19764
18
Long-term effect of amphotericin B on serum cholesterol in the rat.
19752

About A.C. Parekh

A.C. Parekh is a scholar working on Nephrology, Analytical Chemistry, Molecular Biology, Genetics and Animal Science and Zoology, having authored 18 papers that have together received 596 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (3 papers), Renal function and acid-base balance (2 papers), Chemical and Physical Properties in Aqueous Solutions (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Muscle metabolism and nutrition (1 paper), Metabolism and Genetic Disorders (1 paper) and Coccidia and coccidiosis research (1 paper). The work is most often cited by research in Pharmacology (74 citations), Endocrinology, Diabetes and Metabolism (112 citations), Complementary and alternative medicine (48 citations), Nephrology (41 citations) and Drug Discovery (1 citation). A.C. Parekh has collaborated with scholars based in United States. Frequent co-authors include D.H. Jung, Charles L. Sims, David Glick, C. Dave, H Khayam-Bashi, Herbert Lazarus, Gerald A. Schwarting, Edmond J. Yunis, Devendra P. Dubey and Donald E. Staunton. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry, American Journal of Clinical Pathology, Analytical Chemistry and Journal of Clinical Pathology.

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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