Ashok Pullikuth

2.1k citations
40 papers · 1.6k · h-index 21

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Lipid Membrane Structure and Behavior 4
    • Melanoma and MAPK Pathways 3
    • Cellular transport and secretion 6
    • Cellular Mechanics and Interactions 5

Ashok Pullikuth

39 papers receiving 1.6k citations

Peers

Ashok Pullikuth
Comparison fields: 5 of 106
  • Oncology 486
  • Immunology 354
  • Cancer Research 220
  • Insect Science 163
  • Cellular and Molecular Neuroscience 222
Replace Dario De Cesare with:
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Edwin J. Ostrin United States
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Ashok Pullikuth relative to Dario De Cesare Italy Dario De Cesare's profile →
Citations per field
00.5×9.6×
Dario De Cesare · 1×
Citations per year

Countries citing papers authored by Ashok Pullikuth

Since Specialization
Citations

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

Fields of papers citing papers by Ashok Pullikuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018209
2 2013188
3 2002130
4 2007128
5 2019108
6 201185
7 201676
8 201275
9 201662
10 200557
11 199956
12 200654
13 200737
14 202336
15 200336
16 201034
17 201033
18 201525
19 201525
20 202122

About Ashok Pullikuth

Ashok Pullikuth is a scholar working on Molecular Biology, Cell Biology, Immunology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Ferroptosis and cancer prognosis (6 papers), Cellular transport and secretion (6 papers), Neurobiology and Insect Physiology Research (5 papers), Cellular Mechanics and Interactions (5 papers), Lipid Membrane Structure and Behavior (4 papers), Melanoma and MAPK Pathways (3 papers) and Cancer, Stress, Anesthesia, and Immune Response (3 papers). The work is most often cited by research in Oncology (486 citations), Immunology (354 citations), Cancer Research (220 citations), Insect Science (163 citations) and Cellular and Molecular Neuroscience (222 citations). Ashok Pullikuth has collaborated with scholars based in United States, New Zealand and Qatar. Frequent co-authors include Andrew D. Catling, Sarjeet S. Gill, Lance D. Miller, Daniela I. Oltean, Davide Bedognetti, Jeff W. Chou, Karlygash G. Aimanova, Daniele Baiz, Julia Chifman and Sazzad Hassan. Their work appears in journals such as Journal of Experimental Biology, Journal of Biological Chemistry, Cancer Research, Gene and PLoS ONE.

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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