D. N. Mitchell

768 citations
38 papers · 594 · h-index 14

Impact in

Papers in

D. N. Mitchell

35 papers receiving 511 citations

Peers

D. N. Mitchell
Comparison fields: 5 of 65
  • Physiology 315
  • Pulmonary and Respiratory Medicine 183
  • Epidemiology 186
  • Infectious Diseases 74
  • Ophthalmology 30
Replace Sven Löfgren with:
Sven Löfgren Sweden
Yash P. Kataria United States
T Tachibana Japan
C. Cordonnier France
Karen L. Wood United States
Mark F. Sands United States
J Chrétien France
Naohiko Tanaka Japan
Robert Lawrence United States
H Vinti France
D. N. Mitchell relative to Sven Löfgren Sweden Sven Löfgren's profile →
Citations per field
00.5×2.8×
Sven Löfgren · 1×
Citations per year

Countries citing papers authored by D. N. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by D. N. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. N. Mitchell. 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 D. N. Mitchell. The network helps show where D. N. Mitchell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196971
2 198170
3 198658
4 197842
5 198540
6 198737
7 198435
8 196532
9 198621
10 196421
11 197918
12 198817
13 198716
14 198516
15 197212
16 197111
17 199011
18 19858
19 19708
20 19857

About D. N. Mitchell

D. N. Mitchell is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Infectious Diseases, having authored 38 papers that have together received 594 indexed citations. Recurring topics across this work include Sarcoidosis and Beryllium Toxicity Research (23 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Autoimmune and Inflammatory Disorders (4 papers), Infectious Diseases and Tuberculosis (3 papers), Drug-Induced Adverse Reactions (3 papers), IgG4-Related and Inflammatory Diseases (2 papers), Research on Leishmaniasis Studies (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Physiology (315 citations), Pulmonary and Respiratory Medicine (183 citations), Epidemiology (186 citations), Infectious Diseases (74 citations) and Ophthalmology (30 citations). D. N. Mitchell has collaborated with scholars based in United Kingdom, Tanzania and New Zealand. Frequent co-authors include J. G. Scadding, R. J. W. Rees, C.S. Munro, P. D’Arcy Hart, Ian Sutherland, M.M. Ferguson, Michael J. Smith, M Turner‐Warwick, SylviaD. Lawler and K. K. A. Goswami. Their work appears in journals such as Thorax, Journal of Clinical Pathology, The Lancet, Postgraduate Medical Journal and Journal of the Neurological Sciences.

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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