T.C. Gamblin

526 total citations
10 papers, 347 citations indexed

About

T.C. Gamblin is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, T.C. Gamblin has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Physiology and 2 papers in Surgery. Recurrent topics in T.C. Gamblin's work include Alzheimer's disease research and treatments (6 papers), Prion Diseases and Protein Misfolding (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). T.C. Gamblin is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Prion Diseases and Protein Misfolding (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). T.C. Gamblin collaborates with scholars based in United States, Italy and Taiwan. T.C. Gamblin's co-authors include Qian Sun, Carolyn A. Rankin, Robert W. Berry, Aida Abraha, Nichole E. LaPointe, Vincent L. Cryns, Sarita Lagalwar, Lester I. Binder, Berl R. Oakley and David J. Ingham and has published in prestigious journals such as Biochemistry, Molecular Neurodegeneration and Planta Medica.

In The Last Decade

T.C. Gamblin

9 papers receiving 344 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
T.C. Gamblin United States	7	249	174	83	74	48	10	347
Diana S. Himmelstein United States	6	266 1.1×	169 1.0×	90 1.1×	89 1.2×	36 0.8×	6	374
Panchanan Maiti United States	8	189 0.8×	128 0.7×	55 0.7×	76 1.0×	57 1.2×	10	358
Michala Kolarova Czechia	5	263 1.1×	172 1.0×	80 1.0×	80 1.1×	31 0.6×	8	402
Orgeta Zejneli France	3	273 1.1×	231 1.3×	69 0.8×	82 1.1×	57 1.2×	4	486
Keith Philibert United States	6	270 1.1×	149 0.9×	72 0.9×	114 1.5×	32 0.7×	9	362
Arames Crameri Switzerland	6	216 0.9×	219 1.3×	45 0.5×	78 1.1×	64 1.3×	6	428
Haoling Qi France	8	279 1.1×	263 1.5×	68 0.8×	86 1.2×	51 1.1×	9	429
Katharina Flach Germany	7	266 1.1×	190 1.1×	66 0.8×	108 1.5×	95 2.0×	7	429
Edgar Dawkins Australia	9	214 0.9×	174 1.0×	71 0.9×	81 1.1×	36 0.8×	10	428
Ampa Luangpirom Thailand	5	192 0.8×	206 1.2×	56 0.7×	77 1.0×	52 1.1×	15	395

Countries citing papers authored by T.C. Gamblin

Since Specialization

Citations

This map shows the geographic impact of T.C. Gamblin'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 T.C. Gamblin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.C. Gamblin more than expected).

Fields of papers citing papers by T.C. Gamblin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.C. Gamblin. 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 T.C. Gamblin. The network helps show where T.C. Gamblin may publish in the future.

Co-authorship network of co-authors of T.C. Gamblin

This figure shows the co-authorship network connecting the top 25 collaborators of T.C. Gamblin. A scholar is included among the top collaborators of T.C. Gamblin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T.C. Gamblin. T.C. Gamblin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Prasad, Veena, et al.. (2025). MIPAR and ImageJ FIJI as Tools for Electron Microscopy Quantification of Amyloid Fibrils. Biochemistry. 64(9). 1907–1915.

Ingham, David J., et al.. (2022). In vitro Tau Aggregation Inducer Molecules Influence the Effects of MAPT Mutations on Aggregation Dynamics. Biochemistry. 61(13). 1243–1259. 10 indexed citations

Ingham, David J., et al.. (2021). Fungally Derived Isoquinoline Demonstrates Inducer-Specific Tau Aggregation Inhibition. Biochemistry. 60(21). 1658–1669. 6 indexed citations

Reames, Bradley N., Aslam Ejaz, Sorin Alexandrescu, et al.. (2017). Impact of adjuvant chemotherapy on survival in patients with intrahepatic cholangiocarcinoma: a multi-institutional analysis. HPB. 19. S21–S21. 5 indexed citations

Gamblin, T.C., et al.. (2017). Optimization of in vitro conditions to study the arachidonic acid induction of 4R isoforms of the microtubule-associated protein tau. Methods in cell biology. 141. 65–88. 13 indexed citations

Margonis, Georgios Antonios, Y Kim, Stefan Buettner, et al.. (2016). The role of liver-directed surgery in patients with hepatic metastasis from primary breast cancer: A multi-institutional analysis. HPB. 18. e60–e60. 6 indexed citations

Chiang, Yi‐Ming, James F. Sanchez, Ruth Entwistle, et al.. (2014). Inhibition of Tau Aggregation by Three Aspergillus nidulans Secondary Metabolites: 2,ω-Dihydroxyemodin, Asperthecin, and Asperbenzaldehyde. Planta Medica. 80(1). 77–85. 31 indexed citations

Cheng, Gang, et al.. (2013). Mitochondria-Targeted Antioxidant and Glycolysis Inhibition? Synergistic Therapy in Hepatocellular Carcinoma. Journal of Surgical Research. 179(2). 192–192. 2 indexed citations

Rankin, Carolyn A., Qian Sun, & T.C. Gamblin. (2007). Tau phosphorylation by GSK-3β promotes tangle-like filament morphology. Molecular Neurodegeneration. 2(1). 12–12. 156 indexed citations

10.

Berry, Robert W., Aida Abraha, Sarita Lagalwar, et al.. (2003). Inhibition of Tau Polymerization by Its Carboxy-Terminal Caspase Cleavage Fragment. Biochemistry. 42(27). 8325–8331. 118 indexed citations

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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