Michael McNeil

21.4k citations
218 papers · 15.8k indexed · 3 hit papers · h-index 72

Impact in

Papers in

Michael McNeil

217 papers receiving 15.2k citations

Hit Papers

Complex lipid determines tissue-specific replication of Mycobacterium tuberculosis in mice 1999 · 588 citations
5881983202619972011200400600

Peers

Michael McNeil
Comparison fields: 5 of 153
  • Infectious Diseases 4.9k
  • Molecular Medicine 873
  • Biotechnology 1.4k
  • Organic Chemistry 4.0k
  • Epidemiology 4.7k
Replace Scott G. Franzblau with:
Scott G. Franzblau United States
David E. Minnikin United Kingdom
Gurdyal S. Besra United Kingdom
Dominique Sanglard Switzerland
Marc Ouellette Canada
Frank C. Odds United Kingdom
Axel A. Brakhage Germany
Suzanne Walker United States
Theodore C. White United States
Patrick Van Dijck Belgium
Michael McNeil relative to Scott G. Franzblau United States Scott G. Franzblau's profile →
Citations per field
00.5×1.6×
Scott G. Franzblau · 1×
Citations per year

Countries citing papers authored by Michael McNeil

Since Specialization
Citations

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

Fields of papers citing papers by Michael McNeil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 202015
3 201824
4 201429
5 201459
6 200863
7 200877
8 200719
9 200698
10 2004474
11 20011
12 2001125
13 199726
14 1995193
15 1995110
16 199449
17 199384
18 199380
19 198819
20 1974118

About Michael McNeil

Michael McNeil is a scholar working on Infectious Diseases, Organic Chemistry, Epidemiology, Molecular Biology and Molecular Medicine, having authored 218 papers that have together received 15.8k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (83 papers), Mycobacterium research and diagnosis (67 papers), Glycosylation and Glycoproteins Research (66 papers), Tuberculosis Research and Epidemiology (57 papers), Polysaccharides and Plant Cell Walls (50 papers), Biochemical and Molecular Research (29 papers), Microbial Metabolites in Food Biotechnology (19 papers) and Polysaccharides Composition and Applications (16 papers). The work is most often cited by research in Infectious Diseases (4.9k citations), Molecular Medicine (873 citations), Biotechnology (1.4k citations), Organic Chemistry (4.0k citations) and Epidemiology (4.7k citations). Michael McNeil has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Peter Albersheim, Alan G. Darvill, Patrick J. Brennan, Paul Brennan, Delphi Chatterjee, Mamadou Daffé, Michaël Scherman, Stephen C. Fry, Mary Jackson and Anne Dell. Their work appears in journals such as Journal of Biological Chemistry, Carbohydrate Research, Journal of Bacteriology, Biochemistry and PLANT PHYSIOLOGY.

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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