Dan Todd

522 citations
9 papers · 423 · h-index 8

Impact in

  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Liver Diseases and Immunity

Papers in

    • Receptor Mechanisms and Signaling 4
    • Peroxisome Proliferator-Activated Receptors 1
    • Drug Transport and Resistance Mechanisms 3

Dan Todd

9 papers receiving 401 citations

Peers

Dan Todd
Comparison fields: 5 of 53
  • Oncology 229
  • Hepatology 40
  • Infectious Diseases 87
  • Pharmacology 39
  • Physiology 21
Replace Harry B. Marr with:
Harry B. Marr United States
István Káldor United States
Mitesh Patel United States
Joseph F. Leone United States
Carol L. J. Booth United States
Shivakumar D. Patil United States
Chao‐Pin Lee United States
Walid Karam Lebanon
Stefanie Mitchell United States
Ritesh Jain United States
Dan Todd relative to Harry B. Marr United States Harry B. Marr's profile →
Citations per field
00.5×1.5×
Harry B. Marr · 1×
Citations per year

Countries citing papers authored by Dan Todd

Since Specialization
Citations

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

Fields of papers citing papers by Dan Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2008123
2 200484
3 200959
4 201056
5 200949
6 201131
7 200211
8 20119
9 19691

About Dan Todd

Dan Todd is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Organic Chemistry and Surgery, having authored 9 papers that have together received 423 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Adenosine and Purinergic Signaling (2 papers), Neuroscience and Neuropharmacology Research (2 papers), HIV/AIDS drug development and treatment (2 papers), HIV Research and Treatment (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Oncology (229 citations), Hepatology (40 citations), Infectious Diseases (87 citations), Pharmacology (39 citations) and Physiology (21 citations). Dan Todd has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Justin A. Caravella, Katrina L. Creech, Kevin P. Madauss, David N. Deaton, Shawn P. Williams, G. Bruce Wisely, Harry B. Marr, Derek J. Parks, Aaron B. Miller and Robert B. McFadyen. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Antimicrobial Agents and Chemotherapy and Journal of the Chemical Society C Organic.

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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