James T. Douglas

2.2k total citations · 1 hit paper
43 papers, 1.6k citations indexed

About

James T. Douglas is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, James T. Douglas has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 23 papers in Epidemiology and 11 papers in Surgery. Recurrent topics in James T. Douglas's work include Mycobacterium research and diagnosis (18 papers), Tuberculosis Research and Epidemiology (13 papers) and Leprosy Research and Treatment (13 papers). James T. Douglas is often cited by papers focused on Mycobacterium research and diagnosis (18 papers), Tuberculosis Research and Epidemiology (13 papers) and Leprosy Research and Treatment (13 papers). James T. Douglas collaborates with scholars based in United States, Netherlands and Japan. James T. Douglas's co-authors include Lishi Qian, Dick van Soolingen, Pagbajabyn Nymadawa, P E de Haas, Françoise Portaels, J D van Embden, H. Traore, Hiroshi Nikaido, Andrew Winter and Diane Palmer and has published in prestigious journals such as Nature, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

James T. Douglas

42 papers receiving 1.6k citations

Hit Papers

Predominance of a single genotype of Mycobacterium tuberc... 1995 2026 2005 2015 1995 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Predominance of a single genotype of Mycobacterium tuberculosis in countries of east Asia
    1995 583 citations Lishi Qian, James T. Douglas et al. Journal of Clinical Microbiology profile →

Peers

James T. Douglas
H. M. Vordermeier United Kingdom
María-Laura Boschiroli France
Martín José Zumárraga Argentina
J E Thole Netherlands
K Midthun United States
Beth Harris United States
P E de Haas Netherlands
S P O'Connor United States
Diana L. Whipple United States
Viraphong Lulitanond Thailand
H. M. Vordermeier United Kingdom
James T. Douglas
Citations per year, relative to James T. Douglas James T. Douglas (= 1×) peers H. M. Vordermeier

Countries citing papers authored by James T. Douglas

Since Specialization
Citations

This map shows the geographic impact of James T. Douglas'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 James T. Douglas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Douglas more than expected).

Fields of papers citing papers by James T. Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James T. Douglas. 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 James T. Douglas. The network helps show where James T. Douglas may publish in the future.

Co-authorship network of co-authors of James T. Douglas

This figure shows the co-authorship network connecting the top 25 collaborators of James T. Douglas. A scholar is included among the top collaborators of James T. Douglas 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 James T. Douglas. James T. Douglas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Largen, Angela, Jeffrey T. Foster, Kevin P. Drees, et al.. (2018). Genomic sequencing is required for identification of tuberculosis transmission in Hawaii. BMC Infectious Diseases. 18(1). 608–608. 9 indexed citations
3.
Largen, Angela, Jeffrey T. Foster, Kevin P. Drees, et al.. (2018). Whole genome SNP analysis suggests unique virulence factor differences of the Beijing and Manila families of Mycobacterium tuberculosis found in Hawaii. PLoS ONE. 13(7). e0201146–e0201146. 8 indexed citations
4.
Wan, Xuehua, Lishi Qian, Edward Desmond, et al.. (2017). Genomic analyses of the ancestral Manila family of Mycobacterium tuberculosis. PLoS ONE. 12(4). e0175330–e0175330. 10 indexed citations
5.
Smits, Henk L., et al.. (2009). The evaluation of a user-friendly lateral flow assay for the serodiagnosis of human brucellosis in Kazakhstan. Diagnostic Microbiology and Infectious Disease. 65(1). 14–20. 23 indexed citations
6.
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Smits, Henk L., Ramón Díaz, James T. Douglas, et al.. (1999). Development and Evaluation of a Rapid Dipstick Assay for Serodiagnosis of Acute Human Brucellosis. Journal of Clinical Microbiology. 37(12). 4179–4182. 33 indexed citations
8.
Elzer, Philip H., et al.. (1994). BALB/c mice infected with Brucella abortus express protracted polyclonal responses of both IgG2a and IgG3 isotypes. Immunology Letters. 42(3). 145–150. 25 indexed citations
9.
Cellona, Roland V., G P Walsh, T. T. Fajardo, et al.. (1993). Cross-sectional assessment of ELISA reactivity in leprosy patients, contacts, and normal population using the semisynthetic antigen natural disaccharide octyl bovine serum albumin (ND-O-BSA) in Cebu, The Philippines.. PubMed. 61(2). 192–8. 20 indexed citations
10.
Scollard, David M., et al.. (1992). Immune complexes and antibody levels in blisters over human leprosy skin lesions with or without erythema nodosum leprosum. Clinical Immunology and Immunopathology. 63(3). 230–236. 12 indexed citations
11.
Douglas, James T., et al.. (1992). Evaluation of four semi-syntheticMycobacterium lepraeantigens with sera from healthy populations in endemic and non-endemic areas. Leprosy Review. 63(3). 199–210. 3 indexed citations
12.
Faber, W. R., S. R. Krieg, James T. Douglas, et al.. (1991). Application of a polymerase chain reaction for the detection of Mycobacterium leprae in skin tissues. Journal of Clinical Microbiology. 29(5). 906–910. 80 indexed citations
13.
Winter, Andrew, James R. Duncan, Carlos Santisteban, James T. Douglas, & L. Garry Adams. (1989). Capacity of passively administered antibody to prevent establishment of Brucella abortus infection in mice. Infection and Immunity. 57(11). 3438–3444. 51 indexed citations
14.
15.
Malouin, François, et al.. (1988). DNA probe technology for rapid detection of Haemophilus influenzae in clinical specimens. Journal of Clinical Microbiology. 26(10). 2132–2138. 11 indexed citations
16.
Douglas, James T. & Diane Palmer. (1988). Use of monoclonal antibodies to identify the distribution of A and M epitopes on smooth Brucella species. Journal of Clinical Microbiology. 26(7). 1353–1356. 33 indexed citations
17.
Chatterjee, Delphi, et al.. (1988). Synthesis and immunoreactivity of neoglycoproteins containing the trisaccharide unit of phenolic glycolipid I of Mycobacterium leprae. Carbohydrate Research. 183(2). 241–260. 29 indexed citations
18.
Douglas, James T., et al.. (1988). The effects of chemotherapy on antibody levels in lepromatous patients. Leprosy Review. 59(2). 127–35. 22 indexed citations
19.
Douglas, James T., et al.. (1982). A method for isolation and culture of lymphocytes from endoscopic biopsies. Journal of Immunological Methods. 54(1). 55–63. 2 indexed citations
20.
Douglas, James T. & Sanford S. Elberg. (1976). Isolation of Brucella melitensis Phage of Broad Biotype and Species Specificity. Infection and Immunity. 14(1). 306–308. 13 indexed citations

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.

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