Suma P. Shankar

3.6k citations
71 papers · 1.5k indexed · h-index 21

Suma P. Shankar

70 papers receiving 1.4k citations

Peers

Suma P. Shankar
Comparison fields: 5 of 78
  • Physiology 628
  • Ophthalmology 175
  • Cell Biology 282
  • Molecular Biology 833
  • Rheumatology 144
Replace Maarten Arends with:
Maarten Arends Netherlands
Stephan Storch Germany
Hagit Baris Israel
Elisabeth Young United Kingdom
Rıza Köksal Özgül Türkiye
Virginia K. Proud United States
Eissa Faqeih Saudi Arabia
Merry Passage United States
J. A. Barranger United States
Silvia Palmeri Italy
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Citations per field
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Citations per year

Countries citing papers authored by Suma P. Shankar

Since Specialization
Citations

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

Fields of papers citing papers by Suma P. Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suma P. Shankar. 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 Suma P. Shankar. The network helps show where Suma P. Shankar may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20222
3 202131
4 202136
5 20213
6 201972
7 201924
8 201881
9 201825
10 201618
11 201517
12 20133
13 201011
14 201041
15 200888
16 20079
17
Linkage Mapping in Families With Autosomal Dominant Retinitis Pigmentosa (adRP)
20051
18
Linkage Analysis of the X Chromosome in a Brazilian Family With Leber Hereditary Optic Neuropathy (LHON)
20053
19
Autosomal dominant retinitis pigmentosa: exclusion of known and mapped genes in three families.
20041
20
Segregation Analysis of a Large Lhon Pedigree Is Consistent With the Existence of a Nuclear Modifying Gene
20032

About Suma P. Shankar

Suma P. Shankar is a scholar working on Physiology, Rheumatology and Organic Chemistry, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (33 papers), Carbohydrate Chemistry and Synthesis (17 papers), Trypanosoma species research and implications (12 papers), Glycogen Storage Diseases and Myoclonus (9 papers), Retinal Development and Disorders (7 papers), Glycosylation and Glycoproteins Research (6 papers), Cellular transport and secretion (6 papers) and Genetic Syndromes and Imprinting (4 papers). The work is most often cited by research in Physiology (628 citations), Ophthalmology (175 citations) and Cell Biology (282 citations). Suma P. Shankar has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Stephen P. Daiger, Lori S. Sullivan, Sara J. Bowne, Dianna K. Hughbanks-Wheaton, David G. Birch, Edwin M. Stone, Robert R. German, Katherine A. Rauen, John R. Heckenlively and Kathy Nicholls.

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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