Naisha Shah

5.7k total citations
19 papers, 877 citations indexed

About

Naisha Shah is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Naisha Shah has authored 19 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Naisha Shah's work include Genomics and Rare Diseases (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Naisha Shah is often cited by papers focused on Genomics and Rare Diseases (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Naisha Shah collaborates with scholars based in United States, Ireland and United Kingdom. Naisha Shah's co-authors include J. Craig Venter, Amalio Telenti, Ewen F. Kirkness, Elizabeth T. Cirulli, Lining Guo, Tim D. Spector, Lori Napier, Lei Huang, Christine Leon Swisher and C. Thomas Caskey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Immunity.

In The Last Decade

Naisha Shah

19 papers receiving 863 citations

Peers

Naisha Shah
Comparison fields: 5 of 123
  • Molecular Biology 385
  • Genetics 249
  • Physiology 153
  • Immunology 126
  • Public Health, Environmental and Occupational Health 82
Chanin Limwongse Thailand
Konstantinos Sidiropoulos United Kingdom
Aiping Lin United States
Elena Zaslavsky United States
James A. Eddy United States
Jun Xiong China
Nikolas Pontikos United Kingdom
Wenan Chen United States
Chun Zeng China
Guilherme Viteri United Kingdom
Chanin Limwongse Thailand View profile →
Citations per field, relative to Naisha Shah
Naisha Shah · 1×
Citations per year, relative to Naisha Shah
Naisha Shah · 1×

Countries citing papers authored by Naisha Shah

Since Specialization
Citations

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

Fields of papers citing papers by Naisha Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naisha Shah

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 5
3 7
4 34
5 15
6 42
7 6
8 85
9 242
10 28
11 195
12 33
13 6
14 12
15 100
16 41
17 14
18 9
19 2

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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