Tesa Severson

7.3k citations
29 papers · 862 · h-index 17

Impact in

Papers in

    • Genomics and Chromatin Dynamics 5
    • DNA Repair Mechanisms 4
    • FOXO transcription factor regulation 2
    • Protein Degradation and Inhibitors 2
    • Estrogen and related hormone effects 4
    • BRCA gene mutations in cancer 3

Tesa Severson

29 papers receiving 857 citations

Peers

Tesa Severson
Comparison fields: 5 of 82
  • Endocrine and Autonomic Systems 64
  • Cancer Research 115
  • Oncology 199
  • Genetics 202
  • Aging 13
Replace Bingnan Gu with:
Bingnan Gu United States
Huei San Leong Australia
Anda Huna France
Thomas Boyer United States
Myth T.S. Mok Australia
Bruno Vaz United Kingdom
Atsuya Nishiyama Japan
Chenghao Xuan China
Fleur Hammet Australia
Etsuko Shibata United States
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Citations per field
00.5×5.8×
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Citations per year

Countries citing papers authored by Tesa Severson

Since Specialization
Citations

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

Fields of papers citing papers by Tesa Severson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tesa Severson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tesa Severson Line = papers co-authored together Tesa Severson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201999
2 202188
3 201879
4 200864
5 201853
6 201753
7 201851
8 201447
9 201546
10 201939
11 201436
12 201627
13
Expression profile and genome location of cDNA clones from an infant human trabecular meshwork cell library.
200223
14 201722
15 201822
16 201321
17 202219
18 202213
19 201613
20 202012

About Tesa Severson

Tesa Severson is a scholar working on Molecular Biology, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 29 papers that have together received 862 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Genomics and Chromatin Dynamics (5 papers), DNA Repair Mechanisms (4 papers), Estrogen and related hormone effects (4 papers), Cancer Genomics and Diagnostics (3 papers), BRCA gene mutations in cancer (3 papers), FOXO transcription factor regulation (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (64 citations), Cancer Research (115 citations), Oncology (199 citations), Genetics (202 citations) and Aging (13 citations). Tesa Severson has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Wilbert Zwart, Lodewyk F.A. Wessels, Sabine C. Linn, P. J. van Diest, Mark Opdam, Rutger H.T. Koornstra, Murray P. Cox, Fred van Leeuwen, August E. Woerner and Evert de Vries. Their work appears in journals such as Nature Communications, Molecular Oncology, Breast Cancer Research, Nucleic Acids Research and Oncotarget.

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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