D. M. Weir

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

Impact in

Papers in

D. M. Weir

180 papers receiving 3.7k citations

Peers

D. M. Weir
Comparison fields: 5 of 127
  • Endocrine and Autonomic Systems 692
  • Microbiology 530
  • Pharmacy 266
  • Immunology 949
  • Epidemiology 1.4k
Replace C. Caroline Blackwell with:
C. Caroline Blackwell United Kingdom
Joseph A. Bellanti United States
S. Ahlstedt Sweden
Magda Carneiro‐Sampaio Brazil
Mansour Mohamadzadeh United States
C. S. Hosking Australia
Roger Lauener Switzerland
Klaus Fellermann Germany
Hermelijn H. Smits Netherlands
Edward Balish United States
D. M. Weir relative to C. Caroline Blackwell United Kingdom C. Caroline Blackwell's profile →
Citations per field
00.5×4.7×
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-authorship network

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
#Work
1 20101
2 199931
3 199936
4 199974
5 199927
6 199955
7 199633
8
The integrated immune system
19965
9
Immunochemistry and molecular immunology
199612
10 19931
11 19911
12 19914
13 199012
14 199024
15 198924
16 19891
17 198911
18
Applications of immunological methods in biomedical sciences
198612
19
Non-specific recognition mechanisms by mononuclear phagocytes.
197734
20
Application of immunological methods
197315

About D. M. Weir

D. M. Weir is a scholar working on Microbiology, Endocrine and Autonomic Systems, Pharmacy, Endocrinology and Immunology, having authored 184 papers that have together received 4.3k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (26 papers), Neuroscience of respiration and sleep (26 papers), Pneumonia and Respiratory Infections (18 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Infant Health and Development (14 papers), Respiratory viral infections research (14 papers), Influenza Virus Research Studies (13 papers) and Diabetes and associated disorders (13 papers). The work is most often cited by research in Endocrine and Autonomic Systems (692 citations), Microbiology (530 citations), Pharmacy (266 citations), Immunology (949 citations) and Epidemiology (1.4k 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 Epidemiology and Infection, The Lancet, 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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