Todd McMullen

4.2k citations
79 papers · 3.4k · 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 3.4k citations

Peers

Todd McMullen
Comparison fields: 5 of 128
  • Molecular Biology 2.4k
  • Cell Biology 320
  • Endocrinology, Diabetes and Metabolism 279
  • Organic Chemistry 433
  • Nephrology 94
Replace Hirofumi Nakano with:
Hirofumi Nakano Japan
Tetsuya Yamamoto Japan
Mark L. Chiu United States
David L. Daleke United States
James T. Anderson United States
David N. Brems United States
Toru Kawakami Japan
Kjeld Norris Denmark
Jules A. Shafer United States
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Citations per field
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Hirofumi Nakano · 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

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993320
2 1995306
3 2004287
4 1996183
5 2010123
6 2014104
7 2016103
8 201497
9 199491
10 201585
11 201484
12 201981
13 200081
14 199762
15 199961
16 201060
17 201859
18 201159
19 199657
20 199556

About Todd McMullen

Todd McMullen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Epidemiology and Surgery, having authored 79 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 (15 papers), Lipid Membrane Structure and Behavior (14 papers), Protein Structure and Dynamics (6 papers), Cancer Cells and Metastasis (5 papers), Thyroid and Parathyroid Surgery (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Cell Biology (320 citations), Endocrinology, Diabetes and Metabolism (279 citations), Organic Chemistry (433 citations) and Nephrology (94 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, Biophysical Journal and Surgery.

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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