G.N. Shah

563 citations
12 papers · 444 indexed · h-index 10

Impact in

  • Neurology top 10%
    • Barrier Structure and Function Studies
    • Neurological Disease Mechanisms and Treatments
    • Alzheimer's disease research and treatments
    • Diet and metabolism studies

Papers in

G.N. Shah

12 papers receiving 434 citations

Peers

G.N. Shah
Comparison fields: 5 of 77
  • Neurology 82
  • Physiology 140
  • Cellular and Molecular Neuroscience 75
  • Endocrinology, Diabetes and Metabolism 67
  • Biological Psychiatry 9
Replace I. Moroo with:
I. Moroo Japan
Carol S. Landon United States
Teruo Susumu Japan
A. Baccichet Canada
Amalia Merelli Argentina
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Citations per field
00.5×1.5×
I. Moroo · 1×
Citations per year

Countries citing papers authored by G.N. Shah

Since Specialization
Citations

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

Fields of papers citing papers by G.N. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.N. Shah. 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 G.N. Shah. The network helps show where G.N. Shah may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201322
2 200923
3 200383
4 199814
5 19979
6 1997160
7 199625
8 199445
9 199118
10
Differential binding and biological activities of epidermal growth factor and transforming growth factor alpha in a human pancreatic cancer cell line.
199132
11
Persistent limb pain and raised serum alkaline phosphatase the earliest markers of subclinical hypovitaminosis D in Kashmir.
199010
12
Prevalence of hepatitis B surface antigen in Kashmiri blood donors.
19893

About G.N. Shah

G.N. Shah is a scholar working on Complementary and Manual Therapy, Endocrinology, Diabetes and Metabolism, Neurology, Clinical Biochemistry and Management of Technology and Innovation, having authored 12 papers that have together received 444 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Thyroid Disorders and Treatments (2 papers), Neurological Disease Mechanisms and Treatments (1 paper), Cancer Research and Treatments (1 paper), Mitochondrial Function and Pathology (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Neurology (82 citations), Physiology (140 citations), Cellular and Molecular Neuroscience (75 citations), Endocrinology, Diabetes and Metabolism (67 citations) and Biological Psychiatry (9 citations). G.N. Shah has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Arshag D. Mooradian, Bysani Chandrasekar, Murray Korc, Venugopal D. Talkad, Jerry D. Gardner, H. Naci Mocan, William S. Sly, Seza Özen, Stephen A. Wank and A. D. Mooradian. Their work appears in journals such as The Journals of Gerontology Series A, European Journal of Endocrinology, Cardiorenal Medicine, Journal of Medical Genetics and Experimental Biology and 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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