N. H. Smith
Impact in
- Endocrinology top 1%
- Microbiology top 1%
- Bacterial Infections and Vaccines
Papers in
-
- Tuberculosis Research and Epidemiology 17
- Epidemiology 18
- Mycobacterium research and diagnosis 17
- Co-authors
- John Maynard Smith (5 shared papers)Brian G. Spratt (3 shared papers)Mark Allen O’Rourke (1 shared paper)R K Selander (9 shared papers)Pedro J. Beltran (5 shared papers)G. B. Mackaness (3 shared papers)D. C. Old (4 shared papers)Thomas S. Whittam (3 shared papers)
- Journals
- Veterinary Record (6 papers)Molecular Biology and Evolution (3 papers)Journal of Bacteriology (3 papers)Genetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
N. H. Smith
43 papers receiving 3.1k citations
N. H. Smith's Hit Papers
Peers
Comparison fields: 5 of 111
- Endocrinology 462
- Microbiology 398
- Infectious Diseases 630
- Food Science 635
- Molecular Medicine 117
Countries citing papers authored by N. H. Smith
This map shows the geographic impact of N. H. Smith'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 N. H. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. H. Smith more than expected).
Fields of papers citing papers by N. H. Smith
This network shows the impact of papers produced by N. H. Smith. 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 N. H. Smith. The network helps show where N. H. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside N. H. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | How clonal are bacteria? Hit paper breakdown → | 1993 | 1468 |
| 2 | 1998 | 198 | |
| 3 | 1990 | 181 | |
| 4 | 1990 | 125 | |
| 5 | 1991 | 102 | |
| 6 | 1995 | 94 | |
| 7 | 1990 | 86 | |
| 8 | 1992 | 73 | |
| 9 | 1993 | 73 | |
| 10 | 1999 | 72 | |
| 11 | 2009 | 63 | |
| 12 | 1990 | 63 | |
| 13 | 1990 | 54 | |
| 14 | 1996 | 50 | |
| 15 | 2012 | 45 | |
| 16 | 1953 | 43 | |
| 17 | 2008 | 41 | |
| 18 | 1954 | 39 | |
| 19 | 1991 | 31 | |
| 20 | 1996 | 30 |
About N. H. Smith
N. H. Smith is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Food Science, having authored 43 papers that have together received 3.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (17 papers), Salmonella and Campylobacter epidemiology (8 papers), Genomics and Phylogenetic Studies (8 papers), Diagnosis and treatment of tuberculosis (6 papers), RNA and protein synthesis mechanisms (6 papers), Bacteriophages and microbial interactions (6 papers) and Infectious Diseases and Tuberculosis (5 papers). The work is most often cited by research in Endocrinology (462 citations), Microbiology (398 citations), Infectious Diseases (630 citations), Food Science (635 citations) and Molecular Medicine (117 citations). N. H. Smith has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include John Maynard Smith, Brian G. Spratt, Mark Allen O’Rourke, R K Selander, Pedro J. Beltran, G. B. Mackaness, D. C. Old, Thomas S. Whittam, Dennis J. Kopecko and F A Rubin. Their work appears in journals such as Veterinary Record, Molecular Biology and Evolution, Journal of Bacteriology, Genetics and Proceedings of the National Academy of Sciences.
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.