Timothy E. McGraw

15.5k citations
106 papers · 12.2k indexed · 7 hit papers · h-index 55
  • Cell Biology top 0.1%
    • Cellular transport and secretion 42
  • Physiology top 0.5%
    • Adipose Tissue and Metabolism 7
    • Metabolism, Diabetes, and Cancer 33
    • Lipid Membrane Structure and Behavior 12
    • Receptor Mechanisms and Signaling 10
    • Protein Kinase Regulation and GTPase Signaling 7
  • Physiology top 0.5%
    • Adipose Tissue and Metabolism 7
    • Pancreatic function and diabetes 27
    • Cancer Immunotherapy and Biomarkers 9

Timothy E. McGraw

105 papers receiving 12.0k citations

Hit Papers

Neoadjuvant du...21019992026200820174008001.2k

Peers

Timothy E. McGraw
Comparison fields: 5 of 144
  • Cell Biology 3.9k
  • Physiology 529
  • Molecular Biology 8.0k
  • Physiology 2.2k
  • Cancer Research 919
Replace Naoki Mochizuki with:
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Timothy E. McGraw relative to Naoki Mochizuki Japan Naoki Mochizuki's profile →
Citations per field
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Naoki Mochizuki · 1×
Citations per year

Countries citing papers authored by Timothy E. McGraw

Since Specialization
Citations

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

Fields of papers citing papers by Timothy E. McGraw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy E. McGraw. 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 Timothy E. McGraw. The network helps show where Timothy E. McGraw may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202418
4 202319
5 20232
6 202311
7 202326
8 202310
9 202222
10 2021103
11 202112
12 201914
13 2017130
14 201377
15 201190
16 200837
17 2006166
18
Endocytic recyclingbreakdown →
20041444
19 2004180
20 200354

About Timothy E. McGraw

Timothy E. McGraw is a scholar working on Cell Biology, Molecular Biology and Physiology, having authored 106 papers that have together received 12.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (42 papers), Metabolism, Diabetes, and Cancer (33 papers), Pancreatic function and diabetes (27 papers), Lipid Membrane Structure and Behavior (12 papers), Receptor Mechanisms and Signaling (10 papers), Cancer Immunotherapy and Biomarkers (9 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Cell Biology (3.9k citations), Physiology (529 citations) and Molecular Biology (8.0k citations). Timothy E. McGraw has collaborated with scholars based in United States, Israel and Qatar. Frequent co-authors include Frederick R. Maxfield, Eva González‐Roca, Kenneth W. Dunn, Domenico Accili, Michael A. Lampson, Nasser K. Altorki, Rebecca A. Haeusler, Anja Zeigerer, Barbara B. Kahn and Vivek Mittal. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, The Journal of Cell Biology, Cell Reports and Cell Metabolism.

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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