J. M. H. Pearson
- Infectious Diseases top 2%
- Epidemiology top 10%
- Surgery top 10%
- Molecular Biology
- Food Science top 10%
- Co-authors
- R.J.W. LambertR. J. W. ReesMichael F. WatersM.E. DuncanA. G. M. WeddellDouglas S. NelsonMargaret NelsonG Kronvall
- Topics
- Leprosy Research and Treatment (39 papers)Mycobacterium research and diagnosis (17 papers)Infectious Diseases and Tuberculosis (10 papers)
- Partner nations
- EthiopiaUnited KingdomIndia
In The Last Decade
J. M. H. Pearson
40 papers receiving 956 citations
Peers
Comparison fields: 5 of 118
- Infectious Diseases 673
- Epidemiology 334
- Surgery 302
- Molecular Biology 162
- Food Science 105
Countries citing papers authored by J. M. H. Pearson
This map shows the geographic impact of J. M. H. Pearson'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 J. M. H. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. H. Pearson more than expected).
Fields of papers citing papers by J. M. H. Pearson
This network shows the impact of papers produced by J. M. H. Pearson. 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 J. M. H. Pearson. The network helps show where J. M. H. Pearson may publish in the future.
Co-authorship network of co-authors of J. M. H. Pearson
This figure shows the co-authorship network connecting the top 25 collaborators of J. M. H. Pearson. A scholar is included among the top collaborators of J. M. H. Pearson 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 J. M. H. Pearson. J. M. H. Pearson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 368 | |
| 2 | Characteristics of the multiplication of dapsone-resistant strains of Mycobacterium leprae in mice | 0 |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 7 | |
| 6 | 32 | |
| 7 | 19 | |
| 8 | 35 | |
| 9 | Persisting mycobacterium leprae after dapsone plus rifampin treatment of lepromatous leprosy | 1 |
| 10 | 5 | |
| 11 | 17 | |
| 12 | Depressive effect of serum from patients with leprosy on mixed lymphocyte reactions. Influence of anti-leprosy treatment. | 26 |
| 13 | Phytohaemagglutinin-induced lymphocyte transformation in leprosy. | 41 |
| 14 | 6 | |
| 15 | 99 | |
| 16 | 19 | |
| 17 | 20 | |
| 18 | Chemotherapeutic trials in leprosy. 7. Trial of 50 mgm. DDS twice weekly in the treatment of lepromatous leprosy. | 3 |
| 19 | 34 | |
| 20 | Studies on sulfone resistance in leprosy. 3. A case of "partial" resistance. | 3 |
About J. M. H. Pearson
J. M. H. Pearson is a scholar working on Infectious Diseases, Emergency Medicine and Epidemiology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Leprosy Research and Treatment (39 papers), Mycobacterium research and diagnosis (17 papers) and Infectious Diseases and Tuberculosis (10 papers). The work is most often cited by research in Infectious Diseases (673 citations), Epidemiology (334 citations) and Microbiology (56 citations). J. M. H. Pearson has collaborated with scholars based in Ethiopia, United Kingdom and India. Frequent co-authors include R.J.W. Lambert, R. J. W. Rees, Michael F. Waters, M.E. Duncan, A. G. M. Weddell, Douglas S. Nelson, Margaret Nelson, G Kronvall, Ross StC. Barnetson and Bernard Naafs. Their work appears in journals such as The Lancet, Brain and Plastic & Reconstructive Surgery.
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.