Akshitkumar M. Mistry

82 papers receiving 2.7k citations

Akshitkumar M. Mistry's Hit Papers

Federated learning enables big data for rare cancer boundary detection 2022 · 261 citations
2610+1+2Years since publication50100150200250

Peers

Akshitkumar M. Mistry
Comparison fields: 5 of 104
  • Genetics 370
  • Endocrine and Autonomic Systems 162
  • Health Informatics 68
  • Epidemiology 883
  • Neurology 129
Replace Akash J. Patel with:
Akash J. Patel United States
Eelco Wieger Hoving Netherlands
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Akshitkumar M. Mistry relative to Akash J. Patel United States Akash J. Patel's profile →
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Akash J. Patel · 1×
Citations per year

Countries citing papers authored by Akshitkumar M. Mistry

Since Specialization
Citations

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

Fields of papers citing papers by Akshitkumar M. Mistry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akshitkumar M. Mistry. 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 Akshitkumar M. Mistry. The network helps show where Akshitkumar M. Mistry may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Federated learning enables big data for rare cancer boundary detection
Hit paper breakdown →
2022261
2 2017219
3 2007161
4 2014142
5 2017132
6 201098
7 201692
8 201989
9 201586
10 201686
11 201977
12 200670
13 201769
14 201768
15 202164
16 201963
17 201957
18 202052
19 201543
20 201843

About Akshitkumar M. Mistry

Akshitkumar M. Mistry is a scholar working on Genetics, Epidemiology, Neurology, Oncology and Endocrine and Autonomic Systems, having authored 86 papers that have together received 2.7k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (22 papers), Glioma Diagnosis and Treatment (22 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), Single-cell and spatial transcriptomics (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), AI in cancer detection (3 papers), Innovations in Medical Education (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Genetics (370 citations), Endocrine and Autonomic Systems (162 citations), Health Informatics (68 citations), Epidemiology (883 citations) and Neurology (129 citations). Akshitkumar M. Mistry has collaborated with scholars based in United States, Germany and United Arab Emirates. Frequent co-authors include Eva A. Mistry, Reid C. Thompson, Rohan V Chitale, Lola Blackwell Chambless, Matthew R. Fusco, Rebecca A. Ihrie, Mohammad Obadah Nakawah, John J. Volpi, Robert F. James and Jennifer A. Kearney. Their work appears in journals such as Stroke, Journal of Neuro-Oncology, World Neurosurgery, Journal of Stroke and Cerebrovascular Diseases and Neurosurgery.

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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