Daniel Allan

25 papers receiving 546 citations

Peers

Daniel Allan
Comparison fields: 5 of 124
  • Structural Biology 13
  • Pharmaceutical Science 42
  • Information Systems and Management 46
  • Radiation 48
  • Biophysics 32
Replace Katsuhiko Murakami with:
Katsuhiko Murakami Japan
Thomas A Caswell United States
Ludovic Autin United States
Andrea K. Bryan United States
Yuhang He China
Y. Matsui Japan
Rakesh Kumar Singh India
Jinhua Zhou China
Du Li China
Daniel Allan relative to Katsuhiko Murakami Japan Katsuhiko Murakami's profile →
Citations per field
00.5×10×14×
Katsuhiko Murakami · 1×
Citations per year

Countries citing papers authored by Daniel Allan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Allan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015113
2 201973
3 202162
4 201651
5 201544
6 201832
7 201724
8 201423
9 201317
10 202015
11 201715
12 202415
13 201914
14 201612
15 19898
16 20146
17 20225
18 20204
19 20153
20 20233

About Daniel Allan

Daniel Allan is a scholar working on Radiation, Computer Networks and Communications, Information Systems and Management, Electrical and Electronic Engineering and Materials Chemistry, having authored 27 papers that have together received 547 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (5 papers), Distributed and Parallel Computing Systems (4 papers), Advanced X-ray Imaging Techniques (4 papers), Particle Accelerators and Free-Electron Lasers (2 papers), Robotic Path Planning Algorithms (2 papers), Advancements in Photolithography Techniques (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Structural Biology (13 citations), Pharmaceutical Science (42 citations), Information Systems and Management (46 citations), Radiation (48 citations) and Biophysics (32 citations). Daniel Allan has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Thomas A Caswell, Nathan C. Keim, Stuart I. Campbell, Justin Hanes, Benjamin S. Schuster, Laura M. Ensign, Jung Soo Suk, Maksim Rakitin, Robert L. Leheny and Casper van der Wel. Their work appears in journals such as Journal of Controlled Release, Soft Matter, Advanced Drug Delivery Reviews, Journal of Applied Crystallography and Acta Crystallographica Section A Foundations and Advances.

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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