Jason Brown

2.6k citations
88 papers · 1.9k indexed · h-index 24

Impact in

    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
  • Genetics top 2%
    • Genetic and Kidney Cyst Diseases

Papers in

Jason Brown

82 papers receiving 1.9k citations

Peers

Jason Brown
Comparison fields: 5 of 146
  • Cell Biology 544
  • Genetics 751
  • Aging 36
  • Molecular Biology 974
  • Computer Networks and Communications 215
Replace James M. Osborne with:
James M. Osborne United Kingdom
Thomas Schlake Germany
Ying Tang China
Keng‐Hwee Chiam Singapore
Rahul Ghosh United States
Olivier Collin France
Dirk Dormann United Kingdom
Will Wood United Kingdom
Kai Jiang China
Stefano Di Talia United States
Jason Brown relative to James M. Osborne United Kingdom James M. Osborne's profile →
Citations per field
00.5×4.6×
James M. Osborne · 1×
Citations per year

Countries citing papers authored by Jason Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jason Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jason Brown, 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 Jason Brown Line = papers co-authored together Jason Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20240
4 20231
5 20238
6 20227
7 202114
8 20210
9 20203
10 20196
11
Abstract 18153: Screening for Atrial Fibrillation is Feasible in US Managed Care Outpatient Facilities
20172
12
A Review on Energy Saving Techniques for Wireless Local Area Networks (WLAN)
20160
13 201236
14 20017
15 20014
16 199930
17 1999102
18 199830
19 199819
20 199830

About Jason Brown

Jason Brown is a scholar working on Computer Networks and Communications, Cell Biology, Aging, Electrical and Electronic Engineering and Genetics, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wireless Networks and Protocols (17 papers), IoT Networks and Protocols (17 papers), Genetic and Kidney Cyst Diseases (12 papers), Microtubule and mitosis dynamics (11 papers), Protist diversity and phylogeny (9 papers), Advanced Wireless Network Optimization (9 papers), Cellular Mechanics and Interactions (8 papers) and Advanced MIMO Systems Optimization (8 papers). The work is most often cited by research in Cell Biology (544 citations), Genetics (751 citations), Aging (36 citations), Molecular Biology (974 citations) and Computer Networks and Communications (215 citations). Jason Brown has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include George B. Witman, Jamil Y. Khan, Richard Firtel, H. V. Molgaard, Jacek Gaertig, M. F. Greaves, Karen Joy Shaw, Branch Craige, Karl F. Lechtreck and Celia P. Briscoe. Their work appears in journals such as Developmental Biology, Transactions on Emerging Telecommunications Technologies, Journal of Cell Science, IEEE Transactions on Mobile Computing and Current Biology.

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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