Upasana Bedi

31 total papers · 695 total citations
9 papers, 470 citations indexed

About

Upasana Bedi is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Upasana Bedi has authored 9 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Upasana Bedi's work include Ubiquitin and proteasome pathways (5 papers), Genomics and Chromatin Dynamics (4 papers) and Protein Degradation and Inhibitors (3 papers). Upasana Bedi is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Genomics and Chromatin Dynamics (4 papers) and Protein Degradation and Inhibitors (3 papers). Upasana Bedi collaborates with scholars based in Germany, United States and United Kingdom. Upasana Bedi's co-authors include Steven A. Johnsen, Vivek Kumar Mishra, Sankari Nagarajan, Christina Scheel, David Wasilewski, Stefan Knapp, Zeynab Najafova, Eric Hesse, Tareq Hossan and Malik Alawi and has published in prestigious journals such as Nucleic Acids Research, Oncogene and Cell Reports.

In The Last Decade

Upasana Bedi

9 papers receiving 468 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Upasana Bedi 408 90 73 48 35 9 470
Caila Ryan 379 0.9× 67 0.7× 51 0.7× 38 0.8× 36 1.0× 9 449
Jude Alsarraj 354 0.9× 139 1.5× 115 1.6× 64 1.3× 25 0.7× 6 466
Svenja Leible 363 0.9× 87 1.0× 64 0.9× 54 1.1× 48 1.4× 10 505
Liis Uusküla-Reimand 423 1.0× 67 0.7× 50 0.7× 45 0.9× 50 1.4× 8 498
Genshi Ito 380 0.9× 97 1.1× 61 0.8× 26 0.5× 50 1.4× 8 449
Shuo Chen 299 0.7× 136 1.5× 52 0.7× 25 0.5× 32 0.9× 8 422
Nicola J. Sunter 438 1.1× 181 2.0× 101 1.4× 45 0.9× 20 0.6× 9 526
A. Costa 291 0.7× 109 1.2× 63 0.9× 20 0.4× 67 1.9× 13 411
Bu-Nam Jeon 327 0.8× 95 1.1× 93 1.3× 21 0.4× 47 1.3× 11 405
Natalie Brajanovski 401 1.0× 124 1.4× 63 0.9× 22 0.5× 18 0.5× 11 490

Countries citing papers authored by Upasana Bedi

Since Specialization
Citations

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

Fields of papers citing papers by Upasana Bedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Upasana Bedi

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

All Works

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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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