Jeremy E. Purvis

4.0k total citations · 2 hit papers
48 papers, 2.5k citations indexed

About

Jeremy E. Purvis is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Jeremy E. Purvis has authored 48 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Biophysics. Recurrent topics in Jeremy E. Purvis's work include Single-cell and spatial transcriptomics (11 papers), DNA Repair Mechanisms (10 papers) and Gene Regulatory Network Analysis (10 papers). Jeremy E. Purvis is often cited by papers focused on Single-cell and spatial transcriptomics (11 papers), DNA Repair Mechanisms (10 papers) and Gene Regulatory Network Analysis (10 papers). Jeremy E. Purvis collaborates with scholars based in United States and India. Jeremy E. Purvis's co-authors include Galit Lahav, Alexander Loewer, Kyle W. Karhohs, Eric Batchelor, Charles Mock, Jeanette Gowen Cook, Scott L. Diamond, Gavin D. Grant, Katarzyna M. Kedziora and Manash Chatterjee and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jeremy E. Purvis

46 papers receiving 2.5k citations

Hit Papers

p53 Dynamics Control Cell Fate 2012 2026 2016 2021 2012 2013 100 200 300 400 500

Peers

Jeremy E. Purvis
Comparison fields: 5 of 130
  • Molecular Biology 1.8k
  • Oncology 626
  • Cell Biology 289
  • Cancer Research 255
  • Biophysics 202
Zachary C. Dobbin United States
Marc R. Birtwistle United States
Seema Agarwal United States
Eric Batchelor United States
Elisa Ferrando‐May Germany
Sabrina L. Spencer United States
Laura M. Selfors United States
Sourav Bandyopadhyay United States
Violaine Sée United Kingdom
Suranganie Dharmawardhane Puerto Rico
Zachary C. Dobbin United States View profile →
Citations per field, relative to Jeremy E. Purvis
Jeremy E. Purvis · 1×
Citations per year, relative to Jeremy E. Purvis
Jeremy E. Purvis · 1×

Countries citing papers authored by Jeremy E. Purvis

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy E. Purvis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy E. Purvis. 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 Jeremy E. Purvis. The network helps show where Jeremy E. Purvis may publish in the future.

Co-authorship network of co-authors of Jeremy E. Purvis

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy E. Purvis. A scholar is included among the top collaborators of Jeremy E. Purvis 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 Jeremy E. Purvis. Jeremy E. Purvis 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 5
3 7
4 9
5 21
6 7
7 125
8 28
9 24
10 110
11 6
12 17
13 74
14 3
15 64
16 33
17 44
18 5
19 17
20
p53 Dynamics Control Cell Fate breakdown →
592

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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