David N. McMurray
- Infectious Diseases top 0.2%
- Tuberculosis Research and Epidemiology 92
- Nutrition and Dietetics top 0.2%
- Fatty Acid Research and Health 31
- Immunology top 0.5%
- Immune Response and Inflammation 57
- Immune Cell Function and Interaction 27
- Immune responses and vaccinations 21
- Biochemistry top 0.5%
- Epidemiology top 0.5%
- Mycobacterium research and diagnosis 46
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- Cholesterol and Lipid Metabolism 14
- Infectious Diseases and Tuberculosis 13
- Co-authors
- Robert S. ChapkinJ. Peter CegielskiLan H. LyYang‐Yi FanJoanne R. LuptonWooki KimRola BarhoumiShannon Sedberry Allen
- Journals
- Nature (1 paper)SHILAP Revista de lepidopterología (1 paper)Immunity (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
David N. McMurray
217 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Infectious Diseases 4.2k
- Nutrition and Dietetics 2.3k
- Immunology 2.6k
- Biochemistry 742
- Epidemiology 3.3k
Countries citing papers authored by David N. McMurray
This map shows the geographic impact of David N. McMurray'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 N. McMurray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David N. McMurray more than expected).
Fields of papers citing papers by David N. McMurray
This network shows the impact of papers produced by David N. McMurray. 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 N. McMurray. The network helps show where David N. McMurray may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David N. McMurray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 39 | |
| 2 | Host-Parasite Relationships in Experimental Airborne Tuberculosis | 2015 | 2 |
| 3 | 2014 | 28 | |
| 4 | 2013 | 50 | |
| 5 | 2012 | 81 | |
| 6 | 2011 | 56 | |
| 7 | 2011 | 6 | |
| 8 | 2010 | 47 | |
| 9 | The Yin-Yang of TNFalpha in the guinea pig model of tuberculosis. | 2009 | 9 |
| 10 | 2008 | 114 | |
| 11 | 2007 | 6 | |
| 12 | 2007 | 127 | |
| 13 | 2004 | 201 | |
| 14 | 2002 | 29 | |
| 15 | 2002 | 11 | |
| 16 | 2000 | 43 | |
| 17 | 1999 | 119 | |
| 18 | 1997 | 9 | |
| 19 | 1994 | 104 | |
| 20 | The influence of renutrition on biochemical and hematological parameters and morbidity in severely malnourished children | 1980 | 6 |
About David N. McMurray
David N. McMurray is a scholar working on Infectious Diseases, Immunology and Nutrition and Dietetics, having authored 218 papers that have together received 10.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (92 papers), Immune Response and Inflammation (57 papers), Mycobacterium research and diagnosis (46 papers), Fatty Acid Research and Health (31 papers), Immune Cell Function and Interaction (27 papers), Immune responses and vaccinations (21 papers), Cholesterol and Lipid Metabolism (14 papers) and Infectious Diseases and Tuberculosis (13 papers). The work is most often cited by research in Infectious Diseases (4.2k citations), Nutrition and Dietetics (2.3k citations) and Immunology (2.6k citations). David N. McMurray has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Robert S. Chapkin, J. Peter Cegielski, Lan H. Ly, Yang‐Yi Fan, Joanne R. Lupton, Wooki Kim, Rola Barhoumi, Shannon Sedberry Allen, Clifton E. Barry and Kirsten C. Switzer. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Immunity.
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.