Jay Naik

827 citations
13 papers · 182 · h-index 6

Impact in

    • CAR-T cell therapy research
    • Virus-based gene therapy research

Papers in

    • Cancer Treatment and Pharmacology 3
    • HER2/EGFR in Cancer Research 3
    • CAR-T cell therapy research 2
    • Esophageal Cancer Research and Treatment 1

Jay Naik

12 papers receiving 180 citations

Peers

Jay Naik
Comparison fields: 5 of 37
  • Oncology 99
  • Genetics 99
  • Reproductive Medicine 20
  • Biotechnology 19
  • Animal Science and Zoology 14
Replace Daw‐Jen Tsuei with:
Daw‐Jen Tsuei Taiwan
Jillian de Wilde Netherlands
Elizabeth Appleton United Kingdom
Qian‐Ying Zhu China
Dominic Curran United States
Peter Kyriakou Australia
Kevin McGeagh United States
Igor Dumbadze United States
Jiayu Zhang China
H Menzel Germany
Jay Naik relative to Daw‐Jen Tsuei Taiwan Daw‐Jen Tsuei's profile →
Citations per field
00.5×9.5×
Daw‐Jen Tsuei · 1×
Citations per year

Countries citing papers authored by Jay Naik

Since Specialization
Citations

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

Fields of papers citing papers by Jay Naik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200876
2 201131
3 201123
4 200816
5 201813
6 20128
7
Effects of perioperative lapatinib and trastuzumab, alone and in combination, in early HER2+breast cancer - the UK EPHOS-B trial (CRUK/08/002)
20164
8 20233
9 20242
10 20162
11 20062
12 20172
13 20230

About Jay Naik

Jay Naik is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Genetics and Molecular Biology, having authored 13 papers that have together received 182 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (3 papers), HER2/EGFR in Cancer Research (3 papers), Virus-based gene therapy research (2 papers), Advanced Breast Cancer Therapies (2 papers), CAR-T cell therapy research (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Esophageal Cancer Research and Treatment (1 paper). The work is most often cited by research in Oncology (99 citations), Genetics (99 citations), Reproductive Medicine (20 citations), Biotechnology (19 citations) and Animal Science and Zoology (14 citations). Jay Naik has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Peter J. Selby, John Chester, Richard G. Vile, Timothy Perren, Jenny F. Seligmann, Christopher Twelves, Rosa María Díaz, Alan Melcher, Andrew W. Hudacek and Jill Thompson. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, ESMO Open, Lung Cancer and Value in Health.

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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