Mini Pakkal

1.1k citations
38 papers · 840 · h-index 13

Impact in

Papers in

Mini Pakkal

37 papers receiving 818 citations

Peers

Mini Pakkal
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 298
  • Human-Computer Interaction 76
  • Health Informatics 12
  • Pulmonary and Respiratory Medicine 108
  • Physiology 86
Replace Peter Chan with:
Peter Chan Australia
Raman Danrad United States
Daniel Schlager Germany
Frank A. De Stefano United States
John T. Ryan Ireland
Tarun Pandey United States
Nils Dahlström Sweden
Akitoshi Inoue United States
Roshan M. Patel United States
Francesco Rizzetto Italy
Mini Pakkal relative to Peter Chan Australia Peter Chan's profile →
Citations per field
00.5×2×4×6×8.8×
Peter Chan · 1×
Citations per year

Countries citing papers authored by Mini Pakkal

Since Specialization
Citations

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

Fields of papers citing papers by Mini Pakkal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018216
2 2017106
3 201693
4 201765
5 201939
6 202239
7 201332
8 200926
9 201326
10 201122
11 201721
12 201919
13 202019
14 201313
15
MR staging in carcinoma of the endometrium and carcinoma of the cervix.
200411
16 202111
17 202010
18 202110
19 20127
20 20207

About Mini Pakkal

Mini Pakkal is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Health Informatics, having authored 38 papers that have together received 840 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (6 papers), Innovations in Medical Education (4 papers), Radiology practices and education (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Autopsy Techniques and Outcomes (3 papers), Cardiac tumors and thrombi (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (298 citations), Human-Computer Interaction (76 citations), Health Informatics (12 citations), Pulmonary and Respiratory Medicine (108 citations) and Physiology (86 citations). Mini Pakkal has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Noah G. Ditkofsky, Barbara A. Ballyk, Anastasia Oikonomou, Ismail Tawakol Ali, Hillel S. Maresky, Vimal J. Raj, Bruno Morgan, Claire E Robinson, Guy Nathan Rutty and Jasmin M. Amoroso. Their work appears in journals such as Academic Radiology, British Journal of Radiology, European Respiratory Journal, European Heart Journal - Cardiovascular Imaging and Clinical 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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