Tushar Kotecha

4.7k citations
66 papers · 1.7k indexed · h-index 20
Topics
Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers)Cardiac Imaging and Diagnostics (21 papers)Parathyroid Disorders and Treatments (16 papers)

In The Last Decade

Tushar Kotecha

61 papers receiving 1.7k citations

Peers

Tushar Kotecha
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 768
  • Molecular Biology 761
  • Radiology, Nuclear Medicine and Imaging 646
  • Nephrology 463
  • Surgery 256
Replace Daniel Knight with:
Daniel Knight United Kingdom
Sabahat Bokhari United States
Dietrich Beitzke Austria
David W. Seldin United States
Katja Hueper Germany
Alessia Gimelli Italy
Marcelo Souto Nacif Brazil
Nicolas L. Palaskas United States
Matthieu Pelletier‐Galarneau Canada
Jennifer H. Jordan United States
Tushar Kotecha relative to Daniel Knight United Kingdom Daniel Knight's profile →
Citations per field
00.5×1.5×
Daniel Knight · 1×
Citations per year

Countries citing papers authored by Tushar Kotecha

Since Specialization
Citations

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

Fields of papers citing papers by Tushar Kotecha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tushar Kotecha

This figure shows the co-authorship network connecting the top 25 collaborators of Tushar Kotecha. A scholar is included among the top collaborators of Tushar Kotecha 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 Tushar Kotecha. Tushar Kotecha 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 0
2 1
3 4
4 5
5 1
6 2
7 1
8 28
9 32
10 1
11 42
12 154
13 126
14 28
15
Assessment of Treatment Response in Cardiac AL Amyloidosis Using CMR Mapping - Results at 3 Months, 6 Months and 1 Year Post-Chemotherapy
1
16 140
17 193
18 119
19 275
20 28

About Tushar Kotecha

Tushar Kotecha is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers), Cardiac Imaging and Diagnostics (21 papers) and Parathyroid Disorders and Treatments (16 papers). The work is most often cited by research in Nephrology (463 citations), Cardiology and Cardiovascular Medicine (768 citations) and Radiology, Nuclear Medicine and Imaging (646 citations). Tushar Kotecha has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Marianna Fontana, James Moon, Daniel Knight, Peter Kellman, Ana Martinez–Naharro, Philip N. Hawkins, Roby Rakhit, Julian D. Gillmore, Tamer Rezk and Thomas A. Treibel. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Scientific Reports.

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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