Mohit Agarwal

846 citations
60 papers · 559 indexed · h-index 14
Topics
Head and Neck Surgical Oncology (6 papers)Bone Tumor Diagnosis and Treatments (5 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaGene
Partner nations
United StatesIndiaCanada

In The Last Decade

Mohit Agarwal

52 papers receiving 542 citations

Peers

Mohit Agarwal
Comparison fields: 5 of 113
  • Radiology, Nuclear Medicine and Imaging 194
  • Pulmonary and Respiratory Medicine 167
  • Surgery 76
  • Oncology 61
  • Molecular Biology 43
Replace Florian Wagner with:
Florian Wagner Austria
Sara Abu‐Ghanem Israel
Dong‐Jun Lim South Korea
Ton P. M. Langeveld Netherlands
Zenon Rayter United Kingdom
Daniel Dejaco Austria
Kim Nguyen United States
Roshan Verma India
Lu Gan China
Man‐Yee Chan Taiwan
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Citations per field
00.5×5.2×
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Citations per year

Countries citing papers authored by Mohit Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Agarwal. A scholar is included among the top collaborators of Mohit Agarwal 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 Mohit Agarwal. Mohit Agarwal 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 0
3 1
4 4
5 0
6 4
7 5
8 15
9 2
10 1
11 20
12 5
13 0
14 27
15 1
16 6
17 1
18 41
19 6
20 15

About Mohit Agarwal

Mohit Agarwal is a scholar working on Otorhinolaryngology, Health Informatics and Oral Surgery, having authored 60 papers that have together received 559 indexed citations. Recurring topics across this work include Head and Neck Surgical Oncology (6 papers), Bone Tumor Diagnosis and Treatments (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Otorhinolaryngology (42 citations), Radiology, Nuclear Medicine and Imaging (194 citations) and Periodontics (30 citations). Mohit Agarwal has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ching-yee Oliver Wong, Gary W. Chmielewski, Robert Welsh, Bruno Policeni, Deepti Agarwal, Jasjit S. Ahluwalia, Peter A. McCullough, Lorraine R. Reitzel, Taneisha S. Scheuermann and Andrew S. Nencka. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gene.

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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