D. M. Weir

5.4k citations
184 papers · 4.3k · h-index 36

Impact in

Papers in

    • Pneumonia and Respiratory Infections 18
    • Respiratory viral infections research 13
    • Influenza Virus Research Studies 13

D. M. Weir

180 papers receiving 3.7k citations

Peers

D. M. Weir
Comparison fields: 5 of 127
  • Endocrine and Autonomic Systems 665
  • Microbiology 512
  • Pharmacy 222
  • Immunology 885
  • Epidemiology 1.2k
Replace C. Caroline Blackwell with:
C. Caroline Blackwell United Kingdom
Joseph A. Bellanti United States
Magda Carneiro‐Sampaio Brazil
S. Ahlstedt Sweden
Mansour Mohamadzadeh United States
Scott E. Plevy United States
Barbara S. Kirschner United States
Klaus Fellermann Germany
Roger Lauener Switzerland
Hermelijn H. Smits Netherlands
D. M. Weir relative to C. Caroline Blackwell United Kingdom C. Caroline Blackwell's profile →
Citations per field
00.5×4.9×
C. Caroline Blackwell · 1×
Citations per year

Countries citing papers authored by D. M. Weir

Since Specialization
Citations

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

Fields of papers citing papers by D. M. Weir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1957217
2 1982134
3 1999104
4 1961103
5 199175
6 199974
7 199169
8 200568
9 200066
10 199162
11 199061
12
Mechanisms of macrophage activation.
198061
13 200158
14 196858
15
LIVER AUTOANTIBODIES IN THE RAT.
196358
16 199956
17 199656
18 199955
19 199955
20 199354

About D. M. Weir

D. M. Weir is a scholar working on Epidemiology, Immunology, Microbiology, Endocrine and Autonomic Systems and Molecular Biology, having authored 184 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (26 papers), Bacterial Infections and Vaccines (26 papers), Pneumonia and Respiratory Infections (18 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Infant Health and Development (14 papers), Diabetes and associated disorders (13 papers), Respiratory viral infections research (13 papers) and Influenza Virus Research Studies (13 papers). The work is most often cited by research in Endocrine and Autonomic Systems (665 citations), Microbiology (512 citations), Pharmacy (222 citations), Immunology (885 citations) and Epidemiology (1.2k citations). D. M. Weir has collaborated with scholars based in United Kingdom, Greece and United States. Frequent co-authors include C. Caroline Blackwell, E. J. Holborow, G.D. Johnson, A. Busuttil, Robert A. Elton, C C Blackwell, Helga M. Ögmundsdóttir, Valerie S. James, R. Neal Pinckard and William H. McBride. Their work appears in journals such as The Lancet, Epidemiology and Infection, Nature, Journal of Medical Microbiology and Inflammation Research.

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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