Richard Lumb

2.1k total citations
54 papers, 1.5k citations indexed

About

Richard Lumb is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Richard Lumb has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Epidemiology, 33 papers in Infectious Diseases and 23 papers in Surgery. Recurrent topics in Richard Lumb's work include Tuberculosis Research and Epidemiology (31 papers), Mycobacterium research and diagnosis (28 papers) and Diagnosis and treatment of tuberculosis (12 papers). Richard Lumb is often cited by papers focused on Tuberculosis Research and Epidemiology (31 papers), Mycobacterium research and diagnosis (28 papers) and Diagnosis and treatment of tuberculosis (12 papers). Richard Lumb collaborates with scholars based in Australia, United States and Netherlands. Richard Lumb's co-authors include P.J. O'Donoghue, Janice A. Lanser, Armand Van Deun, Ivan Bastian, Chris Gilpin, Sabine Rüsch–Gerdes, F Boulahbal, J. Peter Cegielski, N Martín-Casabona and A Wright and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Cochrane Database of Systematic Reviews.

In The Last Decade

Richard Lumb

54 papers receiving 1.4k citations

Peers

Richard Lumb
Comparison fields: 5 of 122
  • Infectious Diseases 814
  • Epidemiology 750
  • Surgery 378
  • Parasitology 234
  • Molecular Biology 196
Replace M. Mathan with:
M. Mathan India
Ronald A. Greenfield United States
Mostafa Javanian Iran
Alfredo Focà Italy
Soheil Ebrahimpour Iran
Síle F. Molloy United Kingdom
Diana F. Florescu United States
Ujjala Ghoshal India
Ekkehardt Altpeter Switzerland
R J van Ketel Netherlands
M. Mathan India View profile →
Citations per field, relative to Richard Lumb
Richard Lumb · 1×
Citations per year, relative to Richard Lumb
Richard Lumb · 1×

Countries citing papers authored by Richard Lumb

Since Specialization
Citations

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

Fields of papers citing papers by Richard Lumb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard Lumb. 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 Richard Lumb. The network helps show where Richard Lumb may publish in the future.

Co-authorship network of co-authors of Richard Lumb

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Lumb. A scholar is included among the top collaborators of Richard Lumb 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 Richard Lumb. Richard Lumb 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
# Work Indexed citations
1 1
2 4
3 2
4 30
5 29
6 12
7
Critical appraisal of current recommendations and practices for tuberculosis sputum smear microscopy.
20
8
Tuberculosis in Australia: Bacteriologically confirmed cases and drug resistance, 2007
3
9
A community-based TB drug susceptibility study in Mimika District, Papua Province, Indonesia.
9
10 10
11 24
12 21
13 2
14 15
15 13
16 30
17 4
18 9
19 91
20 17

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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