Asha Kandathil

1.9k citations
34 papers · 1.2k indexed · 1 hit paper · h-index 11
Topics
Lung Cancer Diagnosis and Treatment (6 papers)Medical Imaging Techniques and Applications (5 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)

In The Last Decade

Asha Kandathil

31 papers receiving 1.1k citations

Hit Papers

Adrenocortical Carcinoma20132026201720212013100200300400500

Peers

Asha Kandathil
Comparison fields: 5 of 73
  • Surgery 588
  • Cancer Research 456
  • Endocrinology, Diabetes and Metabolism 338
  • Pulmonary and Respiratory Medicine 301
  • Radiology, Nuclear Medicine and Imaging 215
Replace M Walther with:
M Walther United States
Paola Sperone Italy
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Asha Kandathil relative to M Walther United States M Walther's profile →
Citations per field
00.5×9.8×
M Walther · 1×
Citations per year

Countries citing papers authored by Asha Kandathil

Since Specialization
Citations

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

Fields of papers citing papers by Asha Kandathil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asha Kandathil

This figure shows the co-authorship network connecting the top 25 collaborators of Asha Kandathil. A scholar is included among the top collaborators of Asha Kandathil 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 Asha Kandathil. Asha Kandathil 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 0
4 9
5 1
6 3
7 16
8 8
9 2
10 10
11 5
12 6
13 2
14 0
15 12
16 47
17 9
18 76
19 9
20 24

About Asha Kandathil

Asha Kandathil is a scholar working on Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), Medical Imaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Cancer Research (456 citations), Endocrinology, Diabetes and Metabolism (338 citations) and Genetics (162 citations). Asha Kandathil has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Rathan M. Subramaniam, Elaine M. Caoili, Shruti Jolly, Barbra S. Miller, Victoria M. Raymond, Alex C. Kim, Thomas J. Giordano, Gary D. Hammer, Tobias Else and Aaron Sabolch. Their work appears in journals such as Endocrine Reviews, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.

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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