Jai Smith

588 citations
16 papers · 441 · h-index 10

Impact in

Papers in

    • DNA Repair Mechanisms 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Cancer Cells and Metastasis 3
    • Cancer Treatment and Pharmacology 1

Jai Smith

16 papers receiving 423 citations

Peers

Jai Smith
Comparison fields: 5 of 84
  • Library and Information Sciences 12
  • Oncology 192
  • Radiology, Nuclear Medicine and Imaging 140
  • Cancer Research 89
  • Pulmonary and Respiratory Medicine 168
Replace Sara Grehl with:
Sara Grehl Germany
Joseph Sia Australia
Lauryn R. Werner United States
Talicia Savage United States
D. Kardamakis Greece
Masakazu Ogura Japan
C Warren United Kingdom
Eriko Iwamoto Japan
Michael Bernhard Germany
Marina Longo Italy
Jai Smith relative to Sara Grehl Germany Sara Grehl's profile →
Citations per field
00.5×10.7×
Sara Grehl · 1×
Citations per year

Countries citing papers authored by Jai Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jai Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201483
2 201371
3 199661
4 201657
5 201639
6 199333
7 202027
8 201515
9 199612
10 20079
11 20128
12 20147
13 20226
14 20036
15 20006
16
Scalable purification of viral vectors for gene therapy: An appraisal of downstream processing approaches
20171

About Jai Smith

Jai Smith is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics, having authored 16 papers that have together received 441 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (4 papers), Cancer Cells and Metastasis (3 papers), Virus-based gene therapy research (2 papers), DNA Repair Mechanisms (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cancer Treatment and Pharmacology (1 paper), Cell Image Analysis Techniques (1 paper) and Veterinary Pharmacology and Anesthesia (1 paper). The work is most often cited by research in Library and Information Sciences (12 citations), Oncology (192 citations), Radiology, Nuclear Medicine and Imaging (140 citations), Cancer Research (89 citations) and Pulmonary and Respiratory Medicine (168 citations). Jai Smith has collaborated with scholars based in Australia, South Africa and United Kingdom. Frequent co-authors include Olga A. Martin, David Ball, Michael MacManus, Pavel Lobachevsky, Shankar Siva, Tomas Kron, E. Morton Bradbury, Roger F. Martin, J. Bishop and Michael Millward. Their work appears in journals such as Cancer Letters, IFLA Journal, Clinical Cancer Research, International Journal of Radiation Oncology*Biology*Physics and European Journal of Cancer.

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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