Paul R. Klatser

5.1k total citations
116 papers, 3.8k citations indexed

About

Paul R. Klatser is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Paul R. Klatser has authored 116 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Infectious Diseases, 80 papers in Epidemiology and 21 papers in Surgery. Recurrent topics in Paul R. Klatser's work include Mycobacterium research and diagnosis (79 papers), Leprosy Research and Treatment (65 papers) and Tuberculosis Research and Epidemiology (56 papers). Paul R. Klatser is often cited by papers focused on Mycobacterium research and diagnosis (79 papers), Leprosy Research and Treatment (65 papers) and Tuberculosis Research and Epidemiology (56 papers). Paul R. Klatser collaborates with scholars based in Netherlands, Brazil and United Kingdom. Paul R. Klatser's co-authors include M. Y. L. De Wit, A H Kolk, Mochammad Hatta, Linda Oskam, Stella M. van Beers, Richard Anthony, Tom H. M. Ottenhoff, René R. P. de Vries, R. A. Hartskeerl and Diënne G. Elferink and has published in prestigious journals such as Nature, New England Journal of Medicine and Nucleic Acids Research.

In The Last Decade

Paul R. Klatser

114 papers receiving 3.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paul R. Klatser Netherlands	35	2.8k	2.2k	1.1k	479	306	116	3.8k
Nancy L. Wengenack United States	40	2.7k 1.0×	3.1k 1.4×	487 0.4×	850 1.8×	303 1.0×	124	5.1k
Lee W. Riley United States	33	3.0k 1.1×	2.7k 1.2×	1.4k 1.2×	1.1k 2.3×	122 0.4×	65	4.4k
Sjoukje Kuijper Netherlands	25	3.3k 1.2×	3.2k 1.4×	1.9k 1.7×	525 1.1×	219 0.7×	43	4.0k
Diana L. Williams United States	34	2.9k 1.1×	2.4k 1.1×	1.3k 1.2×	475 1.0×	78 0.3×	73	3.5k
Elvira Richter Germany	42	3.8k 1.4×	3.9k 1.8×	1.8k 1.6×	575 1.2×	148 0.5×	129	5.0k
Timothy E. Kiehn United States	39	2.5k 0.9×	2.7k 1.2×	576 0.5×	478 1.0×	106 0.3×	87	4.6k
Pablo Bifani United States	36	4.1k 1.5×	3.7k 1.6×	1.9k 1.7×	1.1k 2.3×	97 0.3×	83	5.0k
Marco Schito United States	33	2.1k 0.8×	1.7k 0.7×	633 0.6×	833 1.7×	172 0.6×	73	4.7k
L Matter Switzerland	27	1.6k 0.6×	1.8k 0.8×	500 0.4×	349 0.7×	62 0.2×	74	2.9k
William D. Thomas United States	25	2.1k 0.7×	976 0.4×	1.0k 0.9×	888 1.9×	136 0.4×	52	4.2k

Countries citing papers authored by Paul R. Klatser

Since Specialization

Citations

This map shows the geographic impact of Paul R. Klatser'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 Paul R. Klatser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul R. Klatser more than expected).

Fields of papers citing papers by Paul R. Klatser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul R. Klatser. 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 Paul R. Klatser. The network helps show where Paul R. Klatser may publish in the future.

Co-authorship network of co-authors of Paul R. Klatser

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

All Works

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20 of 20 papers shown

Yaqub, Amber, Michelle M. J. Mens, J. Klap, et al.. (2022). Genome‐wide profiling of circulatory microRNAs associated with cognition and dementia. Alzheimer s & Dementia. 19(4). 1194–1203. 10 indexed citations

Kariuki, Thomas, Richard Odame Phillips, Sammy M. Njenga, et al.. (2011). Research and Capacity Building for Control of Neglected Tropical Diseases: The Need for a Different Approach. PLoS neglected tropical diseases. 5(5). e1020–e1020. 15 indexed citations

Oskam, Linda, et al.. (2011). Review and comparison of quality standards, guidelines and regulations for laboratories. SHILAP Revista de lepidopterología. 1(1). 3–3. 12 indexed citations

Gibson, Tim, A H Kolk, Klaus Reither, et al.. (2009). Predictive Detection of Tuberculosis using Electronic Nose Technology. AIP conference proceedings. 473–474. 5 indexed citations

Beyene, Demissew, Indra Bergval, Elena Hailu, et al.. (2009). Identification and genotyping of the etiological agent of tuberculous lymphadenitis in Ethiopia. The Journal of Infection in Developing Countries. 3(6). 412–419. 26 indexed citations

Kolk, A H, et al.. (2006). Prospects for Clinical Application of Electronic-Nose Technology to Early Detection of Mycobacterium tuberculosis in Culture and Sputum. Journal of Clinical Microbiology. 44(6). 2039–2045. 125 indexed citations

Antas, Paulo R. Z., Kees L. M. C. Franken, Paul R. Klatser, et al.. (2005). T cell immune responses to mycobacterial antigens in Brazilian tuberculosis patients and controls. Transactions of the Royal Society of Tropical Medicine and Hygiene. 99(9). 699–707. 18 indexed citations

Bührer-Sékula, Samira, H. L. Smits, George C. Gussenhoven, et al.. (2003). Simple and Fast Lateral Flow Test for Classification of Leprosy Patients and Identification of Contacts with High Risk of Developing Leprosy. Journal of Clinical Microbiology. 41(5). 1991–1995. 153 indexed citations

Bakker, Mirjam I., et al.. (2002). Epidemiology of leprosy on five isolated islands in the Flores Sea, Indonesia. Tropical Medicine & International Health. 7(9). 780–787. 32 indexed citations

10.

Smith, W. Cairns S., Ian A. Cree, Paul R. Klatser, et al.. (2000). Approaches to studying the transmission of Mycobacterium leprae.. Leprosy Review. 71. 7 indexed citations

11.

Klatser, Paul R.. (2000). Strategies for pro-active case-finding in leprosy control. Leprosy Review. 71. S30–2. 3 indexed citations

12.

Hamerlinck, F, Paul R. Klatser, Douglas S. Walsh, et al.. (1999). Serum neopterin as a marker for reactional states in leprosy. FEMS Immunology & Medical Microbiology. 24(4). 405–409. 23 indexed citations

13.

Smits, H. L., et al.. (1998). A simple dipstick assay for the detection of antibodies to phenolic glycolipid-I of Mycobacterium leprae.. American Journal of Tropical Medicine and Hygiene. 58(2). 133–136. 49 indexed citations

14.

Klatser, Paul R., et al.. (1997). Transmission and protection in leprosy: indications of the role of mucosal immunity. Leprosy Review. 68(4). 301–15. 44 indexed citations

15.

Brennan, P J, et al.. (1996). Immunodiagnostics, Including Skin Tests. 64. 58–62. 7 indexed citations

16.

Hatta, Mochammad, Shinzo Izumi, & Paul R. Klatser. (1995). Evaluation of the Mycobacterium leprae particle agglutination (MLPA) test as a tool in the epidemiology of leprosy in high prevalence village in South Sulawesi, Indonesia.. PubMed. 26(4). 631–5. 4 indexed citations

17.

Klatser, Paul R., et al.. (1993). Detection of Mycobacterium leprae nasal carriers in populations for which leprosy is endemic. Journal of Clinical Microbiology. 31(11). 2947–2951. 61 indexed citations

18.

Wit, M. Y. L. De, et al.. (1993). A simple colorimetric assay for detection of amplified Mycobacterium leprae DNA. Molecular and Cellular Probes. 7(1). 61–66. 4 indexed citations

19.

Ottenhoff, Tom H. M., Paul R. Klatser, Juraj Iványi, et al.. (1986). Mycobacterium leprae-specific protein antigens defined by cloned human helper T cells. Nature. 319(6048). 66–68. 101 indexed citations

20.

Klatser, Paul R., et al.. (1986). Characterization of the 36 K antigen ofMycobacterium leprae. Leprosy Review. 57. 77–81. 9 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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