Jeff Smith

894 citations
8 papers · 686 · h-index 6

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 3
    • DNA Repair Mechanisms 2
    • CRISPR and Genetic Engineering 2
    • Advanced biosensing and bioanalysis techniques 1
    • Colorectal Cancer Treatments and Studies 1
    • Cancer Treatment and Pharmacology 1

Jeff Smith

8 papers receiving 655 citations

Peers

Jeff Smith
Comparison fields: 5 of 61
  • Business and International Management 44
  • Aging 25
  • Molecular Biology 605
  • Genetics 154
  • Plant Science 103
Replace Jeong-Heon Ko with:
Jeong-Heon Ko South Korea
Alvin Hsu United States
Amanda L. Waterbury United States
Benjamin Guglielmi United States
Ning Guo United States
Purnima Ravisankar United States
Saskia Gressel Germany
Martin Pačesa Switzerland
Ronghao Zhou United States
R. Anand United States
Jeff Smith relative to Jeong-Heon Ko South Korea Jeong-Heon Ko's profile →
Citations per field
00.5×2.8×
Jeong-Heon Ko · 1×
Citations per year

Countries citing papers authored by Jeff Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2001455
2 200571
3 201169
4 199843
5 198039
6 19926
7 20112
8 20151

About Jeff Smith

Jeff Smith is a scholar working on Molecular Biology, Oncology, Cancer Research, Organic Chemistry and Pharmacology, having authored 8 papers that have together received 686 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (3 papers), DNA Repair Mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Cancer Treatment and Pharmacology (1 paper), interferon and immune responses (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Business and International Management (44 citations), Aging (25 citations), Molecular Biology (605 citations), Genetics (154 citations) and Plant Science (103 citations). Jeff Smith has collaborated with scholars based in United States and Italy. Frequent co-authors include Srinivasan Chandrasegaran, Yang‐Gyun Kim, David J. Segal, Jonathan K. Trautman, Marina Bibikova, Dana Carroll, Jeremy M Berg, Mala Mani, Karthikeyan Kandavelou and Aldo Andreani. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Clinical Oncology, Molecular Cancer Therapeutics, Biological Chemistry and Alcoholism Clinical and Experimental Research.

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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