Darrell B. Tata

982 citations
25 papers · 811 · h-index 10

Impact in

Papers in

Darrell B. Tata

25 papers receiving 769 citations

Peers

Darrell B. Tata
Comparison fields: 5 of 95
  • Biophysics 193
  • Radiology, Nuclear Medicine and Imaging 304
  • Biomedical Engineering 354
  • Pulmonary and Respiratory Medicine 219
  • Analytical Chemistry 52
Replace Katsuo Aizawa with:
Katsuo Aizawa Japan
Ekaterina Borisova Bulgaria
G. C. Tang United States
Alexandre Douplik Canada
Rinat Ankri Israel
Matti Kinnunen Finland
Olaf Minet Germany
Abha Uppal India
Hans Georg Breunig Germany
R. Prudente United States
Darrell B. Tata relative to Katsuo Aizawa Japan Katsuo Aizawa's profile →
Citations per field
00.5×1.5×2.3×
Katsuo Aizawa · 1×
Citations per year

Countries citing papers authored by Darrell B. Tata

Since Specialization
Citations

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

Fields of papers citing papers by Darrell B. Tata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darrell B. Tata. 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 Darrell B. Tata. The network helps show where Darrell B. Tata may publish in the future.

Co-authors

The 25 scholars most cited alongside Darrell B. Tata, 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 Darrell B. Tata Line = papers co-authored together Darrell B. Tata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984383
2 199799
3 198669
4 201065
5 200754
6 201131
7 201430
8 200225
9 201913
10 201310
11 20076
12 20085
13 20094
14 20113
15 20202
16 20162
17 20102
18 20101
19 20051
20 20091

About Darrell B. Tata

Darrell B. Tata is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Biomedical Engineering and Molecular Biology, having authored 25 papers that have together received 811 indexed citations. Recurring topics across this work include Laser Applications in Dentistry and Medicine (8 papers), Photodynamic Therapy Research Studies (7 papers), Photoreceptor and optogenetics research (7 papers), Ocular and Laser Science Research (4 papers), Microbial Inactivation Methods (4 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Medical Imaging Techniques and Applications (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Biophysics (193 citations), Radiology, Nuclear Medicine and Imaging (304 citations), Biomedical Engineering (354 citations), Pulmonary and Respiratory Medicine (219 citations) and Analytical Chemistry (52 citations). Darrell B. Tata has collaborated with scholars based in United States, Thailand and South Korea. Frequent co-authors include Philip Tomashefsky, R. R. Alfano, Marco Alfano, Frank W. Longo, Floyd Dunn, Donald J. Tindall, R. W. Waynant, Ronald W. Waynant, M.L. Foresti and Joshua E. Collins. Their work appears in journals such as Journal of X-Ray Science and Technology, Tomography, International Journal of Nanomedicine, Photomedicine and Laser Surgery and Ultrasound in Medicine & 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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