Sanjiv Shah

1.6k citations
16 papers · 1.0k indexed · 1 hit paper · h-index 12
Topics
Alzheimer's disease research and treatments (5 papers)Chronic Lymphocytic Leukemia Research (4 papers)PI3K/AKT/mTOR signaling in cancer (4 papers)
Partner nations
United StatesSwedenJapan

In The Last Decade

Sanjiv Shah

16 papers receiving 992 citations

Hit Papers

Nicastrin Functions as a γ-Secretase-Substrate Receptor20052026201220192005100200300

Peers

Sanjiv Shah
Comparison fields: 5 of 74
  • Physiology 652
  • Molecular Biology 591
  • Cell Biology 247
  • Pharmacology 201
  • Computational Theory and Mathematics 117
Replace Satoko Osawa with:
Satoko Osawa Japan
Krzysztof Paliga Germany
Tim Dejaegere Belgium
Claire Sunyach France
Helena Karlström Sweden
Sebastian Hogl Germany
Claire L. Standen United Kingdom
Xiangyuan He United States
Lauren Herl United States
Michelle Rosado United States
Sanjiv Shah relative to Satoko Osawa Japan Satoko Osawa's profile →
Citations per field
00.5×1.5×
Satoko Osawa · 1×
Citations per year

Countries citing papers authored by Sanjiv Shah

Since Specialization
Citations

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

Fields of papers citing papers by Sanjiv Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjiv Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjiv Shah. A scholar is included among the top collaborators of Sanjiv Shah 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 Sanjiv Shah. Sanjiv Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 11
3 11
4 15
5 4
6 2
7 13
8 12
9 13
10 33
11 53
12
Nicastrin Functions as a γ-Secretase-Substrate Receptorbreakdown →
352
13 21
14 90
15 193
16 180

About Sanjiv Shah

Sanjiv Shah is a scholar working on Aging, Genetics and Cell Biology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Physiology (652 citations), Cell Biology (247 citations) and Pharmacology (201 citations). Sanjiv Shah has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Gang Yu, Cong Yu, Hongqiao Li, Yi-Heng Hao, Weiping Han, Katsuhiko Tabuchi, Charles E. Dann, Thomas C. Südhof, Haydn L. Ball and Quincey LaPlant. Their work appears in journals such as Cell, Journal of Biological Chemistry and PLoS ONE.

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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