Deepika Walpita

4.0k total citations · 1 hit paper
23 papers, 2.3k citations indexed

About

Deepika Walpita is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Deepika Walpita has authored 23 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Surgery and 7 papers in Genetics. Recurrent topics in Deepika Walpita's work include Pancreatic function and diabetes (7 papers), DNA Repair Mechanisms (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Deepika Walpita is often cited by papers focused on Pancreatic function and diabetes (7 papers), DNA Repair Mechanisms (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Deepika Walpita collaborates with scholars based in United States, Canada and France. Deepika Walpita's co-authors include Terry Ashley, Paul A. Clemons, Junjie Chen, Sharon B. Cantor, Fergus J. Couch, David M. Livingston, Ralph Scully, Gail E. Tomlinson, Daniel P. Silver and Barbara L. Weber and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Deepika Walpita

23 papers receiving 2.3k citations

Hit Papers

Sensitive red protein calcium indicators for imaging neur... 2016 2026 2019 2022 2016 200 400 600

Peers

Deepika Walpita
Comparison fields: 5 of 107
  • Molecular Biology 1.4k
  • Genetics 555
  • Cellular and Molecular Neuroscience 540
  • Biophysics 371
  • Surgery 291
Replace Charlotte Rolny with:
Charlotte Rolny Sweden
Mary N. Teruel United States
Brian Hsueh United States
Britta J. Eickholt Germany
Steven Nusinowitz United States
Junlin Teng China
Yun C. Yung United States
Sunghoe Chang South Korea
Takahiko Matsuda Japan
Charlotte Rolny Sweden View profile →
Citations per field, relative to Deepika Walpita
Deepika Walpita · 1×
Citations per year, relative to Deepika Walpita
Deepika Walpita · 1×

Countries citing papers authored by Deepika Walpita

Since Specialization
Citations

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

Fields of papers citing papers by Deepika Walpita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepika Walpita

This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Walpita. A scholar is included among the top collaborators of Deepika Walpita 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 Deepika Walpita. Deepika Walpita 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
# Work Indexed citations
1 1
2 12
3 94
4 21
5 16
6 110
7 150
8
Sensitive red protein calcium indicators for imaging neural activity breakdown →
655
9 82
10 1
11 11
12 27
13 193
14 44
15 58
16 20
17 75
18 113
19 485
20 1

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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