T M Daniel

71 papers receiving 1.8k citations

Peers

T M Daniel
Comparison fields: 5 of 96
  • Infectious Diseases 937
  • Epidemiology 823
  • Surgery 784
  • Immunology 370
  • Anesthesiology and Pain Medicine 94
Replace Limei Chen with:
Limei Chen China
Phoebe Mounts United States
P.L. Yap United Kingdom
Gary Patou United States
Luis Piñeiro Spain
Mitsunori Sakatani Japan
Fukunori Kinjo Japan
Byron E. Fossieck United States
Roger M. Des Prez United States
Jun Woo Lee South Korea
T M Daniel relative to Limei Chen China Limei Chen's profile →
Citations per field
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Limei Chen · 1×
Citations per year

Countries citing papers authored by T M Daniel

Since Specialization
Citations

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

Fields of papers citing papers by T M Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T M Daniel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T M Daniel Line = papers co-authored together T M Daniel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012209
2 1991142
3 1978138
4 201083
5 197977
6 199369
7 198163
8 198263
9 199653
10 198153
11
Serodiagnosis of pulmonary tuberculosis in Argentina by enzyme-linked immunosorbent assay (ELISA) of IgG antibody to Mycobacterium tuberculosis antigen 5 and tuberculin purified protein derivative.
198452
12 198751
13 199050
14 198449
15
Vascular endothelial growth factor effects on nuclear factor-kappaB activation in hematopoietic progenitor cells.
200146
16 198644
17 201236
18 199336
19 197935
20 198832

About T M Daniel

T M Daniel is a scholar working on Infectious Diseases, Epidemiology, Surgery, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (29 papers), Mycobacterium research and diagnosis (26 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Diagnosis and treatment of tuberculosis (5 papers), Glycosylation and Glycoproteins Research (5 papers), Bacteriophages and microbial interactions (4 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Anesthesia and Pain Management (3 papers). The work is most often cited by research in Infectious Diseases (937 citations), Epidemiology (823 citations), Surgery (784 citations), Immunology (370 citations) and Anesthesiology and Pain Medicine (94 citations). T M Daniel has collaborated with scholars based in United States, United Kingdom and Uganda. Frequent co-authors include Jerrold J. Ellner, Bernard W. Janicki, Nicholas T. Ventham, R Brady, F. A. Barron, Neil Johns, Stephen O’Neill, Robert S. Wallis, Diane V. Havlir and Keith Chervenak. Their work appears in journals such as The Journal of Infectious Diseases, Colorectal Disease, Infection and Immunity, Journal of Clinical Investigation and Radiology.

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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