M. Donald Cave

11.2k citations
112 papers · 8.6k indexed · 2 hit papers · h-index 44
Topics
Tuberculosis Research and Epidemiology (81 papers)Mycobacterium research and diagnosis (75 papers)Infectious Diseases and Tuberculosis (28 papers)

In The Last Decade

M. Donald Cave

112 papers receiving 8.2k citations

Hit Papers

Strain identification of Mycobacterium tuberculosis by DN...19902026200220141993199050010001.5k2.0k

Peers

M. Donald Cave
Comparison fields: 5 of 150
  • Infectious Diseases 7.3k
  • Epidemiology 6.8k
  • Surgery 4.2k
  • Molecular Biology 1.1k
  • Ecology 578
Replace Kristin Kremer with:
Kristin Kremer Netherlands
J D van Embden Netherlands
A H Kolk Netherlands
Philip Supply France
Stephen V. Gordon Ireland
Sabine Rüsch–Gerdes Germany
Nicolaas C. Gey van Pittius South Africa
Harald G. Wiker Norway
Sjoukje Kuijper Netherlands
Jan D. A. van Embden Netherlands
M. Donald Cave relative to Kristin Kremer Netherlands Kristin Kremer's profile →
Citations per field
00.5×1.5×
Kristin Kremer · 1×
Citations per year

Countries citing papers authored by M. Donald Cave

Since Specialization
Citations

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

Fields of papers citing papers by M. Donald Cave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Donald Cave. 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 M. Donald Cave. The network helps show where M. Donald Cave may publish in the future.

Co-authorship network of co-authors of M. Donald Cave

This figure shows the co-authorship network connecting the top 25 collaborators of M. Donald Cave. A scholar is included among the top collaborators of M. Donald Cave 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 M. Donald Cave. M. Donald Cave 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
#WorkIndexed citations
1 16
2 39
3 105
4 282
5 59
6 57
7 30
8 88
9 27
10 91
11
Measurement of sputum Mycobacterium tuberculosis messenger RNA as a surrogate for response to chemotherapy
10
12 124
13 84
14 21
15 79
16 88
17 77
18
Histology/cell biology
2
19 34
20 47

About M. Donald Cave

M. Donald Cave is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 112 papers that have together received 8.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (81 papers), Mycobacterium research and diagnosis (75 papers) and Infectious Diseases and Tuberculosis (28 papers). The work is most often cited by research in Infectious Diseases (7.3k citations), Epidemiology (6.8k citations) and Surgery (4.2k citations). M. Donald Cave has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Kathleen D. Eisenach, Joseph H. Bates, Jack T. Crawford, Zhenhua Yang, Thomas M. Shinnick, J D van Embden, Peter W. M. Hermans, Brigitte Gicquel, Jeremy W. Dale and Carlos Martı́n. Their work appears in journals such as New England Journal of Medicine, Nucleic Acids Research and The Journal of Cell Biology.

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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