David Allin

16 papers receiving 234 citations

Peers

David Allin
Comparison fields: 5 of 47
  • Cellular and Molecular Neuroscience 71
  • Neurology 32
  • Cancer Research 31
  • Endocrinology, Diabetes and Metabolism 26
  • Physiology 31
Replace Yingjiang Gu with:
Yingjiang Gu China
Kentaro Tojo Japan
Cen Zhang United States
F. Charles Brunicardi United States
Marilda H. Chung United States
Katsuji Matsuzawa Japan
François Thomas France
Piyush C. Kothary United States
Diana Lehmann Germany
Olli‐Pekka Kämäräinen Finland
David Allin relative to Yingjiang Gu China Yingjiang Gu's profile →
Citations per field
00.5×3.7×
Yingjiang Gu · 1×
Citations per year

Countries citing papers authored by David Allin

Since Specialization
Citations

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

Fields of papers citing papers by David Allin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201844
2 201733
3 201628
4 200927
5 200626
6 201621
7 202015
8 200813
9 20078
10 20088
11 20084
12 20143
13
Intra-plaque production of M1-type cytokines and matrix metalloproteinases differentiate stable from unstable carotid atherosclerosis
20112
14 20102
15 20222
16 20061

About David Allin

David Allin is a scholar working on Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Immunology, Surgery and Oncology, having authored 16 papers that have together received 237 indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (6 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Tracheal and airway disorders (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Cancer Genomics and Diagnostics (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), Mycobacterium research and diagnosis (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (71 citations), Neurology (32 citations), Cancer Research (31 citations), Endocrinology, Diabetes and Metabolism (26 citations) and Physiology (31 citations). David Allin has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Marek Czosnyka, Zofia Czosnyka, John D. Pickard, Hugh K. Richards, N. Mir, Peter Smielewski, Gianpaolo Petrella, E. Guazzo, Z. Czosnyka and Joseph Shalhoub. Their work appears in journals such as Neurosurgery, Clinical Otolaryngology, European Archives of Oto-Rhino-Laryngology, Acta Neurologica Scandinavica and European Journal of Cancer.

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.

Explore authors with similar magnitude of impact