L. Ranganath

183 papers receiving 3.5k citations

Peers

L. Ranganath
Comparison fields: 5 of 131
  • Clinical Biochemistry 1.6k
  • Biochemistry 557
  • Endocrine and Autonomic Systems 274
  • Endocrinology, Diabetes and Metabolism 638
  • Physiology 682
Replace James J. Potter with:
James J. Potter United States
Daniel Rabier France
Yongzhong Wei United States
Keiichi Hishikawa Japan
Carla Iacobini Italy
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Martin Merkel Germany
Hiroki Fujita Japan
Stephen P. Coburn United States
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Citations per field
00.5×10×14.9×
James J. Potter · 1×
Citations per year

Countries citing papers authored by L. Ranganath

Since Specialization
Citations

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

Fields of papers citing papers by L. Ranganath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996301
2 2013190
3 2011146
4 2013117
5 2008105
6 201187
7 201885
8 201372
9 200669
10 200769
11 201164
12 199861
13 201956
14 200955
15 201053
16 200849
17 201447
18 201144
19 199844
20 201444

About L. Ranganath

L. Ranganath is a scholar working on Clinical Biochemistry, Molecular Biology, Biochemistry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 201 papers that have together received 3.6k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (103 papers), Mitochondrial Function and Pathology (30 papers), Amino Acid Enzymes and Metabolism (28 papers), Diet and metabolism studies (23 papers), Diabetes Treatment and Management (14 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Osteoarthritis Treatment and Mechanisms (10 papers) and Alcoholism and Thiamine Deficiency (9 papers). The work is most often cited by research in Clinical Biochemistry (1.6k citations), Biochemistry (557 citations), Endocrine and Autonomic Systems (274 citations), Endocrinology, Diabetes and Metabolism (638 citations) and Physiology (682 citations). L. Ranganath has collaborated with scholars based in United Kingdom, Slovakia and France. Frequent co-authors include James A. Gallagher, J.A. Gallagher, V. Marks, Jonathan C. Jarvis, Peter J. Wilson, Anna M. Milan, Trevor F. Cox, William D. Fraser, LM Morgan and Andrew Davison. Their work appears in journals such as Osteoarthritis and Cartilage, Journal of Inherited Metabolic Disease, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Postgraduate Medical Journal and Scientific Reports.

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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