S. V. Phansalkar

403 citations
10 papers · 316 indexed · h-index 9
Topics
Metabolism and Genetic Disorders (6 papers)Muscle metabolism and nutrition (2 papers)Diet and metabolism studies (2 papers)
Partner nations
United States

In The Last Decade

S. V. Phansalkar

9 papers receiving 284 citations

Peers

S. V. Phansalkar
Comparison fields: 5 of 59
  • Clinical Biochemistry 165
  • Nutrition and Dietetics 85
  • Physiology 81
  • Pediatrics, Perinatology and Child Health 72
  • Cell Biology 58
Replace K.H. Bäßler with:
K.H. Bäßler Germany
A. H. Samiy United States
Anne Seakins Jamaica
SA Adibi United Kingdom
André Gougoux Canada
Lorraine T. Miller United States
Jessie H. Ridout Canada
Philippe Dussoix Switzerland
Ji‐Qing Wei United States
T. Olivecrona Sweden
S. V. Phansalkar relative to K.H. Bäßler Germany K.H. Bäßler's profile →
Citations per field
00.5×3.6×
K.H. Bäßler · 1×
Citations per year

Countries citing papers authored by S. V. Phansalkar

Since Specialization
Citations

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

Fields of papers citing papers by S. V. Phansalkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. V. Phansalkar. 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 S. V. Phansalkar. The network helps show where S. V. Phansalkar may publish in the future.

Co-authorship network of co-authors of S. V. Phansalkar

This figure shows the co-authorship network connecting the top 25 collaborators of S. V. Phansalkar. A scholar is included among the top collaborators of S. V. Phansalkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. V. Phansalkar. S. V. Phansalkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 60
2 40
3 19
4 33
5 8
6 111
7 21
8
Nutritive evaluation of vegetable proteins.
1
9
Nutritive value of vegetable proteins. I. Protein efficiency ratios of cereals and pulses and the supplementary effect of the addition of a leafy vegetable.
12
10
Utilization of animal and vegetable proteins; nitrogen balances at marginal protein intakes and the determination of minimum protein requirements for maintenance in young Indian men.
11

About S. V. Phansalkar

S. V. Phansalkar is a scholar working on Clinical Biochemistry, Nutrition and Dietetics and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 316 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Muscle metabolism and nutrition (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Clinical Biochemistry (165 citations), Biochemistry (52 citations) and Nutrition and Dietetics (85 citations). S. V. Phansalkar has collaborated with scholars based in United States. Frequent co-authors include Patricia M. Norton, Selma E. Snyderman, L. Emmett Holt, Claude Sansaricq, Ellen Roitman, Wen J. Chen, V. N. Patwardhan, Robert G. Schacht and M. Ramachandran. Their work appears in journals such as American Journal of Clinical Nutrition, PEDIATRICS and The Journal of Pediatrics.

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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