Vesna Vetma

23 total papers · 727 total citations
6 papers, 210 citations indexed

About

Vesna Vetma is a scholar working on Molecular Biology, Computational Theory and Mathematics and Hematology. According to data from OpenAlex, Vesna Vetma has authored 6 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Hematology. Recurrent topics in Vesna Vetma's work include Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (2 papers) and Computational Drug Discovery Methods (2 papers). Vesna Vetma is often cited by papers focused on Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (2 papers) and Computational Drug Discovery Methods (2 papers). Vesna Vetma collaborates with scholars based in United Kingdom, Ireland and Germany. Vesna Vetma's co-authors include Alessio Ciulli, Conner Craigon, Nancy E. Murphy, Claire Whitworth, Kwok-Ho Chan, Nikolai Makukhin, Marjeta Urh, Nicole Trainor, Sarah D. Mahan and Chiara Maniaci and has published in prestigious journals such as Cell Death and Differentiation, Nature Chemical Biology and ACS Medicinal Chemistry Letters.

In The Last Decade

Vesna Vetma

6 papers receiving 208 citations

Hit Papers

Trivalent PROTACs enhance... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Vesna Vetma 193 94 39 10 10 6 210
Eileen Tran 160 0.8× 50 0.5× 49 1.3× 16 1.6× 10 1.0× 5 175
Yonghui Sun 219 1.1× 100 1.1× 73 1.9× 12 1.2× 9 0.9× 9 266
Tasuku Ishida 243 1.3× 94 1.0× 64 1.6× 7 0.7× 3 0.3× 4 254
Jenni Cryan 136 0.7× 90 1.0× 28 0.7× 6 0.6× 32 3.2× 7 172
Baole Wang 184 1.0× 91 1.0× 14 0.4× 6 0.6× 31 3.1× 6 226
Tomoko Asatsuma‐Okumura 237 1.2× 75 0.8× 130 3.3× 16 1.6× 11 1.1× 8 287
James Schiemer 99 0.5× 42 0.4× 33 0.8× 5 0.5× 5 0.5× 6 126
Godrej Khambatta 227 1.2× 85 0.9× 114 2.9× 12 1.2× 18 1.8× 4 262
Adam G. Bond 242 1.3× 124 1.3× 46 1.2× 23 2.3× 2 0.2× 8 265
Kimberly Cramer-Morales 188 1.0× 92 1.0× 38 1.0× 4 0.4× 8 0.8× 8 226

Countries citing papers authored by Vesna Vetma

Since Specialization
Citations

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

Fields of papers citing papers by Vesna Vetma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vesna Vetma

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