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)Infection and Immunity (2 papers)Journal of Medical Microbiology (2 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
N. H. Smith
45 papers receiving 3.1k citations
N. H. Smith's Hit Papers
Peers
Comparison fields: 5 of 115
- Endocrinology 492
- Microbiology 412
- Food Science 651
- Infectious Diseases 658
- Ecology 642
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | How clonal are bacteria? Hit paper breakdown → | 1993 | 1462 |
| 2 | 1998 | 198 | |
| 3 | 1990 | 183 | |
| 4 | 1990 | 125 | |
| 5 | 1991 | 102 | |
| 6 | 1995 | 94 | |
| 7 | 1990 | 86 | |
| 8 | 1993 | 75 | |
| 9 | 1999 | 73 | |
| 10 | 1992 | 73 | |
| 11 | 1990 | 63 | |
| 12 | 2009 | 62 | |
| 13 | 1990 | 54 | |
| 14 | 1996 | 49 | |
| 15 | 2012 | 44 | |
| 16 | 1953 | 43 | |
| 17 | 2008 | 41 | |
| 18 | 1954 | 39 | |
| 19 | 1996 | 30 | |
| 20 | 1991 | 30 |
About N. H. Smith
N. H. Smith is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Food Science, having authored 45 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), Genomics and Phylogenetic Studies (8 papers), Salmonella and Campylobacter epidemiology (8 papers), Bacteriophages and microbial interactions (6 papers), RNA and protein synthesis mechanisms (6 papers), Diagnosis and treatment of tuberculosis (6 papers) and Infectious Diseases and Tuberculosis (5 papers). The work is most often cited by research in Endocrinology (492 citations), Microbiology (412 citations), Food Science (651 citations), Infectious Diseases (658 citations) and Ecology (642 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 Kathleen E. Ferris. Their work appears in journals such as Veterinary Record, Molecular Biology and Evolution, Journal of Bacteriology, Infection and Immunity and Journal of Medical Microbiology.
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.