David N. McMurray
- Infectious Diseases top 0.2%
- Epidemiology top 0.5%
- Immunology top 0.5%
- Molecular Biology top 5%
- Nutrition and Dietetics top 0.2%
- Co-authors
- Robert S. ChapkinJ. Peter CegielskiLan H. LyYang‐Yi FanJoanne R. LuptonWooki KimRola BarhoumiShannon Sedberry Allen
- Topics
- Tuberculosis Research and Epidemiology (92 papers)Immune Response and Inflammation (57 papers)Mycobacterium research and diagnosis (46 papers)
- 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
- Epidemiology 3.3k
- Immunology 2.6k
- Molecular Biology 2.4k
- Nutrition and Dietetics 2.3k
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 of co-authors of David N. McMurray
This figure shows the co-authorship network connecting the top 25 collaborators of David N. McMurray. A scholar is included among the top collaborators of David N. McMurray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David N. McMurray. David N. McMurray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | Host-Parasite Relationships in Experimental Airborne Tuberculosis | 2 |
| 3 | 28 | |
| 4 | 50 | |
| 5 | 81 | |
| 6 | 56 | |
| 7 | 6 | |
| 8 | 47 | |
| 9 | The Yin-Yang of TNFalpha in the guinea pig model of tuberculosis. | 9 |
| 10 | 114 | |
| 11 | 6 | |
| 12 | 127 | |
| 13 | 201 | |
| 14 | 29 | |
| 15 | 11 | |
| 16 | 43 | |
| 17 | 119 | |
| 18 | 9 | |
| 19 | 104 | |
| 20 | The influence of renutrition on biochemical and hematological parameters and morbidity in severely malnourished children | 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) and Mycobacterium research and diagnosis (46 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.