Ila Sethi

1.1k citations
35 papers · 833 · h-index 14

Impact in

Papers in

Ila Sethi

33 papers receiving 828 citations

Peers

Ila Sethi
Comparison fields: 5 of 62
  • Hepatology 124
  • Pulmonary and Respiratory Medicine 431
  • Radiology, Nuclear Medicine and Imaging 268
  • Radiation 35
  • Rheumatology 52
Replace M. Haider with:
M. Haider Canada
Hyun Jeong Park South Korea
Hayet Amalou United States
Soichi Akata Japan
Riwa Kishimoto Japan
Sjoerd F.M. Jenniskens Netherlands
Sascha Kaufmann Germany
Hoen‐oh Shin Germany
Young Jun Kim South Korea
Saif Afat Germany
Ila Sethi relative to M. Haider Canada M. Haider's profile →
Citations per field
00.5×2.8×
M. Haider · 1×
Citations per year

Countries citing papers authored by Ila Sethi

Since Specialization
Citations

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

Fields of papers citing papers by Ila Sethi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013215
2 2013155
3 201378
4 201449
5 201140
6 201138
7 202333
8 202024
9 201424
10 201319
11 202118
12 202115
13 201114
14 201913
15 202113
16 202212
17 202010
18 20139
19 20208
20 20138

About Ila Sethi

Ila Sethi is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Hepatology, Surgery and Radiation, having authored 35 papers that have together received 833 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Prostate Cancer Diagnosis and Treatment (5 papers), MRI in cancer diagnosis (4 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Advanced Radiotherapy Techniques (2 papers) and Hematological disorders and diagnostics (2 papers). The work is most often cited by research in Hepatology (124 citations), Pulmonary and Respiratory Medicine (431 citations), Radiology, Nuclear Medicine and Imaging (268 citations), Radiation (35 citations) and Rheumatology (52 citations). Ila Sethi has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Aytekin Oto, Christine Schmid‐Tannwald, Scott Eggener, Yulei Jiang, Tatjana Antic, Yahui Peng, Gregory S. Karczmar, Jeremy Bancroft Brown, Cheng Yang and Maryellen L. Giger. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiology, American Journal of Roentgenology, CardioVascular and Interventional Radiology and Nuclear Medicine Communications.

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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