Mugdha Velankar

8 total papers · 1.1k total citations
7 papers, 864 citations indexed

About

Mugdha Velankar is a scholar working on Molecular Biology, Hematology and Organic Chemistry. According to data from OpenAlex, Mugdha Velankar has authored 7 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Hematology and 1 paper in Organic Chemistry. Recurrent topics in Mugdha Velankar's work include Multiple Myeloma Research and Treatments (5 papers), Cell death mechanisms and regulation (4 papers) and Ubiquitin and proteasome pathways (3 papers). Mugdha Velankar is often cited by papers focused on Multiple Myeloma Research and Treatments (5 papers), Cell death mechanisms and regulation (4 papers) and Ubiquitin and proteasome pathways (3 papers). Mugdha Velankar collaborates with scholars based in United States, Canada and Italy. Mugdha Velankar's co-authors include Teru Hideshima, Kenneth C. Anderson, Paul G. Richardson, Dharminder Chauhan, Klaus Podar, Constantine S. Mitsiades, Nicholas Mitsiades, Huib Ovaa, Saskia Neuteboom and Guilan Li and has published in prestigious journals such as Blood, Cancer Cell and Oncogene.

In The Last Decade

Mugdha Velankar

7 papers receiving 824 citations

Hit Papers

A novel orally active pro... 2005 2026 2012 2019 2005 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Mugdha Velankar 719 284 263 74 68 7 864
Yi He Ling 580 0.8× 381 1.3× 111 0.4× 113 1.5× 46 0.7× 15 855
Michelle L. Kraus 464 0.6× 445 1.6× 145 0.6× 129 1.7× 94 1.4× 9 1.1k
MV Blagosklonny 549 0.8× 186 0.7× 89 0.3× 66 0.9× 40 0.6× 9 774
B A Teicher 589 0.8× 407 1.4× 136 0.5× 250 3.4× 49 0.7× 11 903
Mark Watson 750 1.0× 200 0.7× 64 0.2× 64 0.9× 65 1.0× 6 966
Tadakazu Akiyama 562 0.8× 303 1.1× 116 0.4× 70 0.9× 117 1.7× 17 829
S.H. Olesen 738 1.0× 231 0.8× 139 0.5× 79 1.1× 79 1.2× 15 1.0k
Teresa A. McCormack 742 1.0× 294 1.0× 175 0.7× 160 2.2× 86 1.3× 10 1.0k
Narmada Shenoy 533 0.7× 240 0.8× 97 0.4× 145 2.0× 57 0.8× 17 991
Steven L. Abrams 709 1.0× 339 1.2× 107 0.4× 180 2.4× 64 0.9× 9 1.0k

Countries citing papers authored by Mugdha Velankar

Since Specialization
Citations

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

Fields of papers citing papers by Mugdha Velankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mugdha Velankar

This figure shows the co-authorship network connecting the top 25 collaborators of Mugdha Velankar. A scholar is included among the top collaborators of Mugdha Velankar 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 Mugdha Velankar. Mugdha Velankar 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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