Suma P. Shankar
- Physiology top 5%
- Lysosomal Storage Disorders Research 33
- Ophthalmology top 5%
- Cell Biology top 5%
- Cellular transport and secretion 6
- Molecular Biology top 10%
- Retinal Development and Disorders 7
- Glycosylation and Glycoproteins Research 6
- Rheumatology top 10%
- Glycogen Storage Diseases and Myoclonus 9
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- Carbohydrate Chemistry and Synthesis 17
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- Trypanosoma species research and implications 12
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- Genetic Syndromes and Imprinting 4
- Co-authors
- Stephen P. DaigerLori S. SullivanSara J. BowneDianna K. Hughbanks-WheatonDavid G. BirchEdwin M. StoneRobert R. GermanKatherine A. Rauen
- Cited by
- PhysiologyOphthalmologyCell Biology
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Suma P. Shankar
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 78
- Physiology 628
- Ophthalmology 175
- Cell Biology 282
- Molecular Biology 833
- Rheumatology 144
Countries citing papers authored by Suma P. Shankar
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 1 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 31 | |
| 4 | 2021 | 36 | |
| 5 | 2021 | 3 | |
| 6 | 2019 | 72 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 81 | |
| 9 | 2018 | 25 | |
| 10 | 2016 | 18 | |
| 11 | 2015 | 17 | |
| 12 | 2013 | 3 | |
| 13 | 2010 | 11 | |
| 14 | 2010 | 41 | |
| 15 | 2008 | 88 | |
| 16 | 2007 | 9 | |
| 17 | Linkage Mapping in Families With Autosomal Dominant Retinitis Pigmentosa (adRP) | 2005 | 1 |
| 18 | Linkage Analysis of the X Chromosome in a Brazilian Family With Leber Hereditary Optic Neuropathy (LHON) | 2005 | 3 |
| 19 | Autosomal dominant retinitis pigmentosa: exclusion of known and mapped genes in three families. | 2004 | 1 |
| 20 | Segregation Analysis of a Large Lhon Pedigree Is Consistent With the Existence of a Nuclear Modifying Gene | 2003 | 2 |
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.