Parisha P. Shah

4.5k citations
24 papers · 2.9k indexed · 2 hit papers · h-index 17
Topics
Genomics and Chromatin Dynamics (14 papers)Nuclear Structure and Function (7 papers)RNA Research and Splicing (7 papers)

In The Last Decade

Parisha P. Shah

24 papers receiving 2.9k citations

Hit Papers

Epigenetic Mechanisms of Longevity and Aging201520262018202220162015200400600

Peers

Parisha P. Shah
Comparison fields: 5 of 109
  • Molecular Biology 2.2k
  • Physiology 817
  • Epidemiology 382
  • Immunology 324
  • Aging 292
Replace Brian C. Capell with:
Brian C. Capell United States
Pekka Katajisto Finland
Corinne Abbadie France
Kovalev Gi United States
Juan Cadiñanos Spain
Salah Mahmoudi United States
Pauline Isakson Sweden
Abhijit Kale United States
Rebeccah Riley United States
Parisha P. Shah relative to Brian C. Capell United States Brian C. Capell's profile →
Citations per field
00.5×1.5×2.1×
Brian C. Capell · 1×
Citations per year

Countries citing papers authored by Parisha P. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Parisha P. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parisha P. Shah

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 39
2 17
3 65
4 6
5 6
6 8
7 8
8 11
9 32
10 6
11 64
12 158
13 118
14
Epigenetic Mechanisms of Longevity and Agingbreakdown →
605
15
Autophagy mediates degradation of nuclear laminabreakdown →
484
16 24
17 375
18 251
19 87
20 58

About Parisha P. Shah

Parisha P. Shah is a scholar working on Aging, Molecular Biology and Physiology, having authored 24 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (14 papers), Nuclear Structure and Function (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Aging (292 citations), Molecular Biology (2.2k citations) and Physiology (817 citations). Parisha P. Shah has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Shelley L. Berger, Payel Sen, Raffaella Nativio, Peter D. Adams, Taranjit Singh, Greg Donahue, David M. Nelson, Brian C. Capell, John van Tuyn and Hazel A. Cruickshanks. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.

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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