M. Y. L. De Wit

576 citations
12 papers · 435 indexed · h-index 9
Topics
Leprosy Research and Treatment (12 papers)Mycobacterium research and diagnosis (10 papers)Tuberculosis Research and Epidemiology (5 papers)

In The Last Decade

M. Y. L. De Wit

12 papers receiving 402 citations

Peers

M. Y. L. De Wit
Comparison fields: 5 of 51
  • Infectious Diseases 347
  • Epidemiology 304
  • Surgery 129
  • Molecular Biology 57
  • Ecology 31
Replace L. Teixeira with:
L. Teixeira Brazil
Charlotte Avanzi Switzerland
Andréa de Faria Fernandes Belone Brazil
Amie-Louise Seagar United Kingdom
P. Nye United Kingdom
Rudolph H. Johnson United States
Lenka Bašková Austria
Y Minekawa Japan
Ludmila Naumann Germany
E. Mankiewicz Canada
M. Y. L. De Wit relative to L. Teixeira Brazil L. Teixeira's profile →
Citations per field
00.5×1.5×
L. Teixeira · 1×
Citations per year

Countries citing papers authored by M. Y. L. De Wit

Since Specialization
Citations

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

Fields of papers citing papers by M. Y. L. De Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Y. L. De Wit. 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. Y. L. De Wit. The network helps show where M. Y. L. De Wit may publish in the future.

Co-authorship network of co-authors of M. Y. L. De Wit

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 44
2
Polymerase chain reaction of nasal swabs from tuberculosis patients and their contacts.
6
3 50
4 55
5 6
6 26
7 4
8 110
9 8
10 15
11 10
12 101

About M. Y. L. De Wit

M. Y. L. De Wit is a scholar working on Infectious Diseases, Epidemiology and Genetics, having authored 12 papers that have together received 435 indexed citations. Recurring topics across this work include Leprosy Research and Treatment (12 papers), Mycobacterium research and diagnosis (10 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Infectious Diseases (347 citations), Epidemiology (304 citations) and Endocrinology (17 citations). M. Y. L. De Wit has collaborated with scholars based in Netherlands, United Kingdom and Indonesia. Frequent co-authors include Paul R. Klatser, R. A. Hartskeerl, Stella M. van Beers, Juraj Iványi, Diënne G. Elferink, Tom H. M. Ottenhoff, René R. P. de Vries, Mochammad Hatta, Ian A. Cree and William C. Smith. Their work appears in journals such as Nature, Microbiology and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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