Manoj Mannil

2.0k citations
73 papers · 1.5k · h-index 22

Impact in

Papers in

Manoj Mannil

67 papers receiving 1.5k citations

Peers

Manoj Mannil
Comparison fields: 5 of 88
  • Health Informatics 83
  • Radiology, Nuclear Medicine and Imaging 655
  • Biomedical Engineering 469
  • Genetics 95
  • Cardiology and Cardiovascular Medicine 118
Replace Hwiyoung Kim with:
Hwiyoung Kim South Korea
Masafumi Kidoh Japan
Kai Roman Laukamp Germany
Jialiang Ren China
David Zopfs Germany
Emine Şebnem Durmaz Türkiye
Jonathan D Suever United States
Yang Hou China
Ida Häggström Sweden
Alexandra S. Gersing Germany
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Citations per field
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Hwiyoung Kim · 1×
Citations per year

Countries citing papers authored by Manoj Mannil

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Mannil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017161
2 2018118
3 2017111
4 2018106
5 201897
6 201871
7 202151
8 201950
9 201749
10 201849
11 202038
12 202137
13 201935
14 201833
15 202128
16 201927
17 202227
18 201825
19 202024
20 201724

About Manoj Mannil

Manoj Mannil is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Biomedical Engineering, Neurology and Epidemiology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Cardiac Imaging and Diagnostics (10 papers), Meningioma and schwannoma management (7 papers), Advanced X-ray and CT Imaging (6 papers), Advanced MRI Techniques and Applications (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers) and Medical Imaging and Analysis (4 papers). The work is most often cited by research in Health Informatics (83 citations), Radiology, Nuclear Medicine and Imaging (655 citations), Biomedical Engineering (469 citations), Genetics (95 citations) and Cardiology and Cardiovascular Medicine (118 citations). Manoj Mannil has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Hatem Alkadhi, Robert Manka, Jochen von Spiczak, David Maintz, Bettina Baeßler, Roman Guggenberger, Sabrina Oebel, Thomas Flohr, Bernhard Schmidt and Thomas Sartoretti. Their work appears in journals such as Scientific Reports, European Journal of Radiology, Cancers, Investigative Radiology and European 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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