A. Jamie Wood

3.5k citations
83 papers · 2.5k indexed · h-index 30

A. Jamie Wood

80 papers receiving 2.4k citations

Peers

A. Jamie Wood
Comparison fields: 5 of 164
  • Molecular Medicine 264
  • Condensed Matter Physics 311
  • Developmental Biology 55
  • Endocrinology 101
  • Ecology, Evolution, Behavior and Systematics 336
Replace Andrew M. Edwards with:
Andrew M. Edwards United Kingdom
Jonathan W. Pitchford United Kingdom
Stephen M. Krone United States
Kenichi Aoki Japan
Claudio Donati Italy
James A. Shapiro United States
Oskar Hallatschek United States
N. F. Britton United Kingdom
Pedro Fernando da Costa Vasconcelos Brazil
William S. Ryu United States
A. Jamie Wood relative to Andrew M. Edwards United Kingdom Andrew M. Edwards's profile →
Citations per field
00.5×7.8×
Andrew M. Edwards · 1×
Citations per year

Countries citing papers authored by A. Jamie Wood

Since Specialization
Citations

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

Fields of papers citing papers by A. Jamie Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Jamie Wood. 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 A. Jamie Wood. The network helps show where A. Jamie Wood may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20222
5 20224
6 202169
7 202194
8 20207
9 202015
10 201917
11 201932
12 201911
13 201933
14 201827
15 201818
16 201768
17 201772
18 2016129
19 201619
20 200921

About A. Jamie Wood

A. Jamie Wood is a scholar working on Molecular Medicine, Condensed Matter Physics and Endocrinology, having authored 83 papers that have together received 2.5k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (15 papers), Theoretical and Computational Physics (14 papers), Animal Behavior and Reproduction (9 papers), Evolutionary Game Theory and Cooperation (8 papers), Material Dynamics and Properties (7 papers), Antibiotic Resistance in Bacteria (7 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Insect symbiosis and bacterial influences (5 papers). The work is most often cited by research in Molecular Medicine (264 citations), Condensed Matter Physics (311 citations) and Developmental Biology (55 citations). A. Jamie Wood has collaborated with scholars based in United Kingdom, Finland and United States. Frequent co-authors include Nikolai W. F. Bode, Daniel W. Franks, Michael A. Brockhurst, A. O. Parry, Graeme J. Ackland, C. Rascón, Ellie Harrison, Michael Bottery, James P. J. Hall and T.W. Clyne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.

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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