Mark Basham

2.1k citations
58 papers · 1.4k indexed · 2 hit papers · h-index 12

Mark Basham

57 papers receiving 1.4k citations

Hit Papers

Can we predict T cell ...1052015202620182022100200300

Peers

Mark Basham
Comparison fields: 5 of 137
  • Structural Biology 81
  • Radiation 193
  • Materials Chemistry 628
  • Surfaces, Coatings and Films 83
  • Metals and Alloys 27
Replace Jérôme Kieffer with:
Jérôme Kieffer France
Alun Ashton United Kingdom
Isao Matsui Japan
Andrei Tkachuk United States
Manfred Hentschel Germany
Eva Pereiro Spain
Vincent Aimez Canada
B. Henrich Switzerland
Derrick C. Mancini United States
Andreas Korinek Canada
Mark Basham relative to Jérôme Kieffer France Jérôme Kieffer's profile →
Citations per field
00.5×1.5×
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-authorship network

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
#Work
1 20241
2 20241
3 20247
4 20241
5 20235
6 20233
7
Can we predict T cell specificity with digital biology and machine learning?breakdown →
2023105
8 202122
9 20212
10 20213
11 20197
12 2017101
13 20176
14 2015241
15 201319
16 20139
17
Benefits of optical packet switching for router by-pass in metro networks
20121
18
Cost reduction of 80% in next-generation virtual personal computer service economics using a sub-wavelength metro network
20111
19 201035
20
Metro architectures enabliNg subwavelengths: Rationale and technical challenges
20106

About Mark Basham

Mark Basham is a scholar working on Structural Biology, Radiation and Surfaces, Coatings and Films, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (14 papers), Electron and X-Ray Spectroscopy Techniques (9 papers), Medical Imaging Techniques and Applications (8 papers), Advanced Electron Microscopy Techniques and Applications (8 papers), Advanced X-ray and CT Imaging (6 papers), Cell Image Analysis Techniques (5 papers), Enzyme Structure and Function (5 papers) and Advanced Optical Network Technologies (5 papers). The work is most often cited by research in Structural Biology (81 citations), Radiation (193 citations) and Materials Chemistry (628 citations). Mark Basham has collaborated with scholars based in United Kingdom, Spain and France. Frequent co-authors include Paul A. Mulheran, Robert Atwood, Michael Drakopoulos, Roger A. Bennett, Michael Nolan, Jacob Filik, Stephen W. T. Price, Alun Ashton, Simon D. Elliott and Hashem Koohy. 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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