David M. Booth

1.4k citations
31 papers · 981 · h-index 14

Impact in

  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
  • Surgery top 10%
    • Pancreatitis Pathology and Treatment
    • Pancreatic function and diabetes

Papers in

David M. Booth

29 papers receiving 966 citations

Peers

David M. Booth
Comparison fields: 5 of 95
  • Cell Biology 158
  • Surgery 403
  • Physiology 37
  • Clinical Biochemistry 55
  • Molecular Biology 454
Replace Xiao-Qing Dai with:
Xiao-Qing Dai Canada
Zhiming Ge China
John Y. Jun United States
Eijiro Yamada Japan
Shigeru Yatoh Japan
Guanlan Xu United States
William Lagakos United States
Heberty Tarso Facundo Brazil
Huaqing Zhu China
Xiaochun Yang China
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Citations per field
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Citations per year

Countries citing papers authored by David M. Booth

Since Specialization
Citations

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

Fields of papers citing papers by David M. Booth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016246
2 2011153
3 2013131
4 201577
5 201159
6 202148
7 201845
8 201242
9 201940
10 202223
11 200922
12 201619
13 202116
14 200513
15 20036
16
Combining the Opinions of Several Early Vision Modules using a Multi-Layer Perceptron.
19926
17 20225
18 20134
19 19994
20 20143

About David M. Booth

David M. Booth is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology and Surgery, having authored 31 papers that have together received 981 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Robotics and Sensor-Based Localization (5 papers), Pancreatitis Pathology and Treatment (5 papers), Remote-Sensing Image Classification (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), ATP Synthase and ATPases Research (4 papers), Infrared Target Detection Methodologies (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Cell Biology (158 citations), Surgery (403 citations), Physiology (37 citations), Clinical Biochemistry (55 citations) and Molecular Biology (454 citations). David M. Booth has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include György Hajnóczky, Péter Várnai, Rajarshi Mukherjee, Miklós Geiszt, Balázs Enyedi, David N. Criddle, Robert Sutton, Suresh K. Joseph, Ole H. Petersen and Alexei V. Tepikin. Their work appears in journals such as Journal of Biological Chemistry, Cell Calcium, Molecular Cell, Gut and The EMBO Journal.

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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