David Shepherd

72 papers receiving 2.3k citations

Peers

David Shepherd
Comparison fields: 5 of 113
  • Aging 124
  • Cellular and Molecular Neuroscience 896
  • Clinical Biochemistry 299
  • Physiology 706
  • Cell Biology 323
Replace Kyung‐Tai Min with:
Kyung‐Tai Min United States
Andreas Wyttenbach United Kingdom
Alastair Morrison United Kingdom
Leo J. Pallanck United States
Marı́a D. Ganfornina Spain
Steven P. Nilsen United States
Doris Kretzschmar United States
Nancy J. Linford United States
Jake Jacobson United Kingdom
Ronald Taussig United States
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Citations per field
00.5×
Kyung‐Tai Min · 1×
Citations per year

Countries citing papers authored by David Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by David Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969298
2 1965257
3 2004222
4 2010114
5 2004108
6 198876
7 200974
8 196670
9 199067
10 201566
11 198657
12 196755
13 196652
14 199645
15 202044
16 200643
17 198842
18 199640
19 196840
20 202035

About David Shepherd

David Shepherd is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cell Biology and Agronomy and Crop Science, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (22 papers), Alzheimer's disease research and treatments (9 papers), Metabolism and Genetic Disorders (8 papers), Reproductive Physiology in Livestock (8 papers), Developmental Biology and Gene Regulation (8 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Diet and metabolism studies (6 papers) and Birth, Development, and Health (6 papers). The work is most often cited by research in Aging (124 citations), Cellular and Molecular Neuroscience (896 citations), Clinical Biochemistry (299 citations), Physiology (706 citations) and Cell Biology (323 citations). David Shepherd has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include P. B. Garland, Darren W. Williams, Amritpal Mudher, Catherine M. Cowan, Simon A. Smith, James W. Truman, Tracey A. Newman, R. K. Murphey, C. M. Bate and Torsten Bossing. Their work appears in journals such as The Journal of Comparative Neurology, Development, Research in Veterinary Science, Biochemical Society Transactions and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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