Peter T. Vedell

97 total papers · 2.0k total citations
22 papers, 848 citations indexed

About

Peter T. Vedell is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Peter T. Vedell has authored 22 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Cancer Research. Recurrent topics in Peter T. Vedell's work include Cancer Genomics and Diagnostics (7 papers), Prostate Cancer Treatment and Research (5 papers) and Bioinformatics and Genomic Networks (3 papers). Peter T. Vedell is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Prostate Cancer Treatment and Research (5 papers) and Bioinformatics and Genomic Networks (3 papers). Peter T. Vedell collaborates with scholars based in United States, Canada and China. Peter T. Vedell's co-authors include Gary A. Churchill, Katherine D. Blizinsky, Eva E. Redei, Krishna R. Kalari, Xiaojia Tang, Karunya K. Kandimalla, Jessica Wright, Eva M. Carmona Porquera, Chenxu Li and Sanjana Nair and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer Research.

In The Last Decade

Peter T. Vedell

22 papers receiving 834 citations

Hit Papers

COVID-19 Transmission, Cu... 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
Peter T. Vedell 328 137 121 110 105 22 848
Waldemar Kanczkowski 217 0.7× 118 0.9× 133 1.1× 62 0.6× 108 1.0× 35 941
Hongli Sun 285 0.9× 120 0.9× 239 2.0× 37 0.3× 70 0.7× 42 981
Juuso Juhila 284 0.9× 61 0.4× 113 0.9× 188 1.7× 30 0.3× 26 829
Ke Wang 517 1.6× 180 1.3× 51 0.4× 71 0.6× 65 0.6× 43 933
Katherine Meckel 479 1.5× 121 0.9× 30 0.2× 129 1.2× 52 0.5× 24 819
Jun Ma 503 1.5× 180 1.3× 37 0.3× 127 1.2× 59 0.6× 42 1.1k
Yinghua Ma 356 1.1× 72 0.5× 33 0.3× 48 0.4× 81 0.8× 23 1.0k
Zhe Zhang 608 1.9× 122 0.9× 30 0.2× 43 0.4× 101 1.0× 35 930
Kathleen M. Azzam 274 0.8× 90 0.7× 80 0.7× 39 0.4× 56 0.5× 13 759
José Avendaño‐Ortiz 259 0.8× 82 0.6× 45 0.4× 25 0.2× 107 1.0× 46 833

Countries citing papers authored by Peter T. Vedell

Since Specialization
Citations

This map shows the geographic impact of Peter T. Vedell'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 Peter T. Vedell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Vedell more than expected).

Fields of papers citing papers by Peter T. Vedell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter T. Vedell. 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 Peter T. Vedell. The network helps show where Peter T. Vedell may publish in the future.

Co-authorship network of co-authors of Peter T. Vedell

This figure shows the co-authorship network connecting the top 25 collaborators of Peter T. Vedell. A scholar is included among the top collaborators of Peter T. Vedell 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 Peter T. Vedell. Peter T. Vedell 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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