Todd McMullen

4.2k citations
78 papers · 3.4k indexed · h-index 30

Impact in

    • Lipid Membrane Structure and Behavior
    • Sphingolipid Metabolism and Signaling
    • Protein Structure and Dynamics
    • Protein Interaction Studies and Fluorescence Analysis
    • Endoplasmic Reticulum Stress and Disease

Papers in

Todd McMullen

76 papers receiving 3.3k citations

Peers

Todd McMullen
Comparison fields: 5 of 129
  • Molecular Biology 2.5k
  • Cell Biology 337
  • Endocrinology, Diabetes and Metabolism 322
  • Organic Chemistry 438
  • Pharmaceutical Science 88
Replace Tetsuya Yamamoto with:
Tetsuya Yamamoto Japan
Hirofumi Nakano Japan
Jukka Lehtonen Finland
Jian‐Xin Li China
Mark L. Chiu United States
José A. Halperin United States
Gÿorgý Kéri Hungary
David N. Brems United States
Monica Galliano Italy
David L. Daleke United States
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Citations per field
00.5×4.5×
Tetsuya Yamamoto · 1×
Citations per year

Countries citing papers authored by Todd McMullen

Since Specialization
Citations

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

Fields of papers citing papers by Todd McMullen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202210
2 202211
3 202011
4 201858
5 201714
6 201617
7 201585
8 2014104
9 201242
10 201010
11 201011
12 20095
13 200918
14 200844
15
The investigation of primary rectal cancer by surgeons: current pattern of practice.
200521
16 200081
17 199961
18 199657
19 199626
20 199491

About Todd McMullen

Todd McMullen is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Molecular Biology, Cancer Research and Cell Biology, having authored 78 papers that have together received 3.4k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (18 papers), Thyroid Cancer Diagnosis and Treatment (17 papers), Lipid Membrane Structure and Behavior (14 papers), Thyroid and Parathyroid Surgery (12 papers), Protein Structure and Dynamics (6 papers), Neuroendocrine Tumor Research Advances (6 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Cell Biology (337 citations), Endocrinology, Diabetes and Metabolism (322 citations), Organic Chemistry (438 citations) and Pharmaceutical Science (88 citations). Todd McMullen has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Ronald N. McElhaney, Ruthven N.A.H. Lewis, David N. Brindley, Ruthven N. A. H. Lewis, Matthew G.K. Benesch, Xiaoyun Tang, Leigh Delbridge, R.N. McElhaney, Jay Dewald and Mark Sywak. Their work appears in journals such as The FASEB Journal, Cancers, Biochimica et Biophysica Acta (BBA) - Biomembranes, Surgery and Human Pathology.

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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