Jennifer Prescott

6.6k total citations
62 papers, 2.9k citations indexed

About

Jennifer Prescott is a scholar working on Physiology, Aging and Molecular Biology. According to data from OpenAlex, Jennifer Prescott has authored 62 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Physiology, 13 papers in Aging and 12 papers in Molecular Biology. Recurrent topics in Jennifer Prescott's work include Telomeres, Telomerase, and Senescence (34 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Cancer Risks and Factors (7 papers). Jennifer Prescott is often cited by papers focused on Telomeres, Telomerase, and Senescence (34 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Cancer Risks and Factors (7 papers). Jennifer Prescott collaborates with scholars based in United States, Australia and United Kingdom. Jennifer Prescott's co-authors include Immaculata De Vivo, David J. Hunter, Jiali Han, Peter Kraft, Gerhard A. Coetzee, Jiali Han, Mengmeng Du, Jason Wong, Susan E. Hankinson and Kathryn M. Rexrode and has published in prestigious journals such as Circulation, Blood and PLoS ONE.

In The Last Decade

Jennifer Prescott

59 papers receiving 2.8k citations

Peers

Jennifer Prescott
Comparison fields: 5 of 115
  • Physiology 1.5k
  • Molecular Biology 728
  • Aging 493
  • Public Health, Environmental and Occupational Health 396
  • Reproductive Medicine 353
Replace Sebastian Gidlöf with:
Sebastian Gidlöf Sweden
Davide Gentilini Italy
Darlene E. Berryman United States
Jaime Guevara‐Aguirre United States
Monika Puzianowska‐Kuźnicka Poland
Rosa Maria Corbo Italy
Hélène Blanché France
Julie Bienertová Vašků Czechia
Colleen Jackson‐Cook United States
Åsa Tivesten Sweden
Sebastian Gidlöf Sweden View profile →
Citations per field, relative to Jennifer Prescott
Jennifer Prescott · 1×
Citations per year, relative to Jennifer Prescott
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Countries citing papers authored by Jennifer Prescott

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Prescott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Prescott

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 6
5 11
6 38
7 197
8 6
9 41
10 26
11 72
12 97
13 39
14 75
15 61
16 224
17 29
18 70
19
Reproductive factors, body size, and risk of non-Hodgkin lymphoma subtypes in the California Teachers Study
1
20 84

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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