Mark Basham

59 papers receiving 1.5k citations

Mark Basham's Hit Papers

Can we predict T cell specificity with digital biology and machine learning? 2023 · 111 citations
1110+3+7Years since publication100200300

Peers

Mark Basham
Comparison fields: 5 of 136
  • Structural Biology 82
  • Radiation 192
  • Materials Chemistry 636
  • Surfaces, Coatings and Films 84
  • Metals and Alloys 27
Replace Jérôme Kieffer with:
Jérôme Kieffer France
Alun Ashton United Kingdom
Andrei Tkachuk United States
Igor P. Dolbnya United Kingdom
Eva Pereiro Spain
Manfred Hentschel Germany
Esther H. R. Tsai United States
Peter Boesecke France
Wenbing Yun United States
Hidehiro Yasuda Japan
Mark Basham relative to Jérôme Kieffer France Jérôme Kieffer's profile →
Citations per field
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Jérôme Kieffer · 1×
Citations per year

Countries citing papers authored by Mark Basham

Since Specialization
Citations

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

Fields of papers citing papers by Mark Basham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data Analysis WorkbeNch(DAWN)
Hit paper breakdown →
2015388
2 2015249
3 2008136
4
Can we predict T cell specificity with digital biology and machine learning?
Hit paper breakdown →
2023111
5 2017105
6 2015103
7 201850
8 201445
9 201035
10 202333
11 202124
12 201319
13 202212
14 200411
15 20169
16 20139
17 20229
18 20218
19 20078
20 20068

About Mark Basham

Mark Basham is a scholar working on Radiation, Molecular Biology, Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Surfaces, Coatings and Films, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (14 papers), Electron and X-Ray Spectroscopy Techniques (9 papers), Advanced Electron Microscopy Techniques and Applications (8 papers), Medical Imaging Techniques and Applications (8 papers), Advanced X-ray and CT Imaging (6 papers), Advanced Optical Network Technologies (5 papers), Enzyme Structure and Function (5 papers) and Cell Image Analysis Techniques (5 papers). The work is most often cited by research in Structural Biology (82 citations), Radiation (192 citations), Materials Chemistry (636 citations), Surfaces, Coatings and Films (84 citations) and Metals and Alloys (27 citations). Mark Basham has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Paul A. Mulheran, Robert Atwood, Michael Drakopoulos, Roger A. Bennett, Jacob Filik, Michael Nolan, Stephen W. T. Price, Alun Ashton, Hashem Koohy and Simon D. Elliott. Their work appears in journals such as Journal of Synchrotron Radiation, Physical Review B, Acta Crystallographica Section D Structural Biology, Physical Chemistry Chemical Physics and Journal of Visualized Experiments.

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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