Ankush Bhatia

805 citations
23 papers · 417 · h-index 10

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Barrier Structure and Function Studies
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

Ankush Bhatia

21 papers receiving 405 citations

Peers

Ankush Bhatia
Comparison fields: 5 of 78
  • Neurology 96
  • Genetics 92
  • Neurology 82
  • Physiology 96
  • Biological Psychiatry 8
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Citations per field
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Citations per year

Countries citing papers authored by Ankush Bhatia

Since Specialization
Citations

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

Fields of papers citing papers by Ankush Bhatia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007150
2 201946
3 201833
4 202033
5 202127
6 201124
7 201917
8
Treatment of bacilliferous BL/LL cases with combined chemotherapy and immunotherapy.
199516
9 202313
10
Chemotherapy trial in paucibacillary leprosy using clofazimine.
200011
11 20218
12
Interobserver agreement of the Nottingham histologic grading scheme for infiltrating duct carcinoma breast.
20008
13 20187
14 20207
15 20235
16
Treatment of paucibacillary leprosy with a regimen containing rifampicin, dapsone and prothionamide.
19924
17 20233
18 20162
19 20231
20 20211

About Ankush Bhatia

Ankush Bhatia is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Neurology, Epidemiology and Infectious Diseases, having authored 23 papers that have together received 417 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Brain Metastases and Treatment (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Mycobacterium research and diagnosis (3 papers), Leprosy Research and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Neurology (96 citations), Genetics (92 citations), Neurology (82 citations), Physiology (96 citations) and Biological Psychiatry (8 citations). Ankush Bhatia has collaborated with scholars based in United States, India and Mexico. Frequent co-authors include Mary B. Newman, Chaohui Zhao, Zaodung Ling, Paul M. Carvey, Rachna Malani, Yoshua Esquenazi, Antonio Dono, Leomar Y. Ballester, Benjamin H. Durham and Gary A. Ulaner. Their work appears in journals such as Neuro-Oncology, Neuro-Oncology Advances, Clinical Cancer Research, Child s Nervous System and World 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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