Vaidehi Patel

422 citations
7 papers · 347 indexed · h-index 7
Topics
Microbial Metabolic Engineering and Bioproduction (4 papers)Fungal and yeast genetics research (3 papers)Algal biology and biofuel production (2 papers)
Partner nations
United StatesFrance

In The Last Decade

Vaidehi Patel

7 papers receiving 323 citations

Peers

Vaidehi Patel
Comparison fields: 5 of 51
  • Molecular Biology 272
  • Plant Science 79
  • Genetics 55
  • Materials Chemistry 38
  • Pharmacology 35
Replace Michael G. Schechtman with:
Michael G. Schechtman United States
Martin Vögtli Switzerland
L N Yager United States
Masayuki Isshiki Japan
Kazumoto HASHIZUME Japan
Ivonne Toledo Mexico
Dmitry Blinder United States
Brian S. Margolin United States
Qunen Liu China
Sara J. Wright United States
Vaidehi Patel relative to Michael G. Schechtman United States Michael G. Schechtman's profile →
Citations per field
00.5×4.8×
Michael G. Schechtman · 1×
Citations per year

Countries citing papers authored by Vaidehi Patel

Since Specialization
Citations

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

Fields of papers citing papers by Vaidehi Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaidehi Patel

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 28
2 48
3 146
4 8
5 48
6 45
7 24

About Vaidehi Patel

Vaidehi Patel is a scholar working on Renewable Energy, Sustainability and the Environment, Biotechnology and Molecular Biology, having authored 7 papers that have together received 347 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Fungal and yeast genetics research (3 papers) and Algal biology and biofuel production (2 papers). The work is most often cited by research in Molecular Biology (272 citations), Endocrine and Autonomic Systems (23 citations) and Biotechnology (29 citations). Vaidehi Patel has collaborated with scholars based in United States and France. Frequent co-authors include Norman H. Giles, Brett M. Tyler, Layne Huiet, J A Baum, Mary E. Case, Robert F. Geever, F Buxton, N. Kirby Alton, Daniel Vapnek and Christine C. Dykstra. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Archives of Biochemistry and Biophysics.

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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