Neha Dixit

2.3k citations
38 papers · 1.7k · h-index 20

Impact in

Papers in

    • CAR-T cell therapy research 5
    • Cancer Immunotherapy and Biomarkers 3
    • Immune Cell Function and Interaction 3

Neha Dixit

34 papers receiving 1.6k citations

Peers

Neha Dixit
Comparison fields: 5 of 139
  • Neurology 325
  • Immunology and Allergy 115
  • Sensory Systems 91
  • Emergency Medicine 121
  • Immunology 272
Replace Laura‐Maria Peltonen with:
Laura‐Maria Peltonen Finland
Yumei Wang China
Jeremy Chataway United Kingdom
Ayman Tourbah France
Lawrence B. Afrin United States
Eric M. Green United States
Kerstin Göbel Germany
Thomas Büttner Germany
George W. Ellison United States
Lawrence W. Myers United States
Neha Dixit relative to Laura‐Maria Peltonen Finland Laura‐Maria Peltonen's profile →
Citations per field
00.5×7.6×
Laura‐Maria Peltonen · 1×
Citations per year

Countries citing papers authored by Neha Dixit

Since Specialization
Citations

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

Fields of papers citing papers by Neha Dixit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neha Dixit, 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 Neha Dixit Line = papers co-authored together Neha Dixit 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 2011253
2 2002235
3 2014140
4 2004135
5 2009101
6 200693
7 201287
8 201575
9
Acceptance of E-banking among Adult Customers:An Empirical Investigation in India
201066
10 201162
11 200759
12 201559
13 201251
14 201947
15 201038
16 201435
17 201034
18 200828
19 202225
20 201419

About Neha Dixit

Neha Dixit is a scholar working on Oncology, Immunology, Molecular Biology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cell Adhesion Molecules Research (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Ion Channels and Receptors (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Neurology (325 citations), Immunology and Allergy (115 citations), Sensory Systems (91 citations), Emergency Medicine (121 citations) and Immunology (272 citations). Neha Dixit has collaborated with scholars based in United States, India and France. Frequent co-authors include Scott I. Simon, William M. Perlstein, Jason A. Demery, Jonathan D. Cohen, Douglas C. Noll, Cameron S. Carter, Itsukyo Yamayoshi, Michael J. Larson, Gretchen M. Brophy and Ronald L. Hayes. Their work appears in journals such as Blood, The Journal of Immunology, Frontiers in Immunology, Journal of Neurotrauma and Journal of Clinical Oncology.

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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