Graham T. Holt

1.9k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Graham T. Holt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Graham T. Holt has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Infectious Diseases. Recurrent topics in Graham T. Holt's work include Protein Structure and Dynamics (3 papers), Photoreceptor and optogenetics research (3 papers) and Antibiotic Resistance in Bacteria (2 papers). Graham T. Holt is often cited by papers focused on Protein Structure and Dynamics (3 papers), Photoreceptor and optogenetics research (3 papers) and Antibiotic Resistance in Bacteria (2 papers). Graham T. Holt collaborates with scholars based in United States, United Kingdom and France. Graham T. Holt's co-authors include Eric R. Schreiter, Douglas S. Kim, Hod Dana, Loren L. Looger, Vivek Jayaraman, Sujatha Narayan, Misha B. Ahrens, Getahun Tsegaye, Cornelia I. Bargmann and Karel Svoboda and has published in prestigious journals such as Nature Communications, Neuron and PLoS ONE.

In The Last Decade

Graham T. Holt

14 papers receiving 1.1k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sensitive red protein calcium indicators for imaging neural activity

2016 655 citations Hod Dana, Boaz Mohar et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Graham T. Holt United States	9	672	518	267	209	128	15	1.1k
Michael R. Tadross United States	14	695 1.0×	876 1.7×	215 0.8×	98 0.5×	94 0.7×	22	1.4k
Getahun Tsegaye United States	4	942 1.4×	536 1.0×	462 1.7×	352 1.7×	102 0.8×	4	1.5k
J. Hasseman United States	9	953 1.4×	770 1.5×	473 1.8×	341 1.6×	104 0.8×	10	1.8k
Thomas Hendel Germany	9	984 1.5×	358 0.7×	185 0.7×	167 0.8×	61 0.5×	11	1.2k
Damian J. Wallace Germany	15	688 1.0×	356 0.7×	573 2.1×	276 1.3×	83 0.6×	30	1.2k
Arthur Tsang United States	6	445 0.7×	298 0.6×	242 0.9×	173 0.8×	57 0.4×	6	905
Marco Mank Germany	9	742 1.1×	769 1.5×	208 0.8×	423 2.0×	107 0.8×	11	1.3k
Jessica C. Nelson United States	21	730 1.1×	519 1.0×	598 2.2×	89 0.4×	229 1.8×	29	1.5k
Haruhisa Okawa United States	17	841 1.3×	1.4k 2.6×	267 1.0×	226 1.1×	166 1.3×	19	1.9k
Yu-Fen Chang Taiwan	9	528 0.8×	767 1.5×	77 0.3×	271 1.3×	112 0.9×	10	1.3k

Countries citing papers authored by Graham T. Holt

Since Specialization

Citations

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

Fields of papers citing papers by Graham T. Holt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham T. Holt

This figure shows the co-authorship network connecting the top 25 collaborators of Graham T. Holt. A scholar is included among the top collaborators of Graham T. Holt 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 Graham T. Holt. Graham T. Holt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Holt, Graham T., Jason Gorman, Siyu Wang, et al.. (2023). Improved HIV-1 neutralization breadth and potency of V2-apex antibodies by in silico design. Cell Reports. 42(7). 112711–112711. 5 indexed citations

Wang, Siyu, Stephanie M. Reeve, Graham T. Holt, et al.. (2022). Chiral evasion and stereospecific antifolate resistance in Staphylococcus aureus. PLoS Computational Biology. 18(2). e1009855–e1009855. 6 indexed citations

Holt, Graham T., et al.. (2020). Novel, provable algorithms for efficient ensemble-based computational protein design and their application to the redesign of the c-Raf-RBD:KRas protein-protein interface. PLoS Computational Biology. 16(6). e1007447–e1007447. 11 indexed citations

Jou, Jonathan, et al.. (2019). Minimization-Aware Recursive K*: A Novel, Provable Algorithm that Accelerates Ensemble-Based Protein Design and Provably Approximates the Energy Landscape. Journal of Computational Biology. 27(4). 550–564. 8 indexed citations

Reeve, Stephanie M., J. Krucinska, Kishore Viswanathan, et al.. (2019). Toward Broad Spectrum Dihydrofolate Reductase Inhibitors Targeting Trimethoprim Resistant Enzymes Identified in Clinical Isolates of Methicillin Resistant Staphylococcus aureus. ACS Infectious Diseases. 5(11). 1896–1906. 23 indexed citations

Holt, Graham T., et al.. (2019). Computational Analysis of Energy Landscapes Reveals Dynamic Features That Contribute to Binding of Inhibitors to CFTR-Associated Ligand. The Journal of Physical Chemistry B. 123(49). 10441–10455. 7 indexed citations

Moeyaert, Benjamien, Graham T. Holt, Rajtarun Madangopal, et al.. (2018). Improved methods for marking active neuron populations. Nature Communications. 9(1). 4440–4440. 103 indexed citations

Hallen, Mark A., Jeffrey W. Martin, Adegoke A. Ojewole, et al.. (2018). OSPREY 3.0: Open‐source protein redesign for you, with powerful new features. Journal of Computational Chemistry. 39(30). 2494–2507. 46 indexed citations

Juan‐Sanz, Jaime de, Graham T. Holt, Eric R. Schreiter, et al.. (2017). Axonal Endoplasmic Reticulum Ca2+ Content Controls Release Probability in CNS Nerve Terminals. Neuron. 93(4). 867–881.e6. 196 indexed citations

10.

Dana, Hod, Boaz Mohar, Yi Sun, et al.. (2016). Sensitive red protein calcium indicators for imaging neural activity. eLife. 5. 655 indexed citations breakdown →

11.

Henderson, Mark J., Christopher A. Werley, Leslie R. Whitaker, et al.. (2015). A Low Affinity GCaMP3 Variant (GCaMPer) for Imaging the Endoplasmic Reticulum Calcium Store. PLoS ONE. 10(10). e0139273–e0139273. 52 indexed citations

12.

Holt, Graham T.. (2010). Carbon neutrality—a government dilemma?. Nanotechnology Perceptions. 6(2). 121–123.

13.

Wörgötter, Florentin & Graham T. Holt. (1991). Spatiotemporal mechanisms in receptive fields of visual cortical simple cells: a model. Journal of Neurophysiology. 65(3). 494–510. 20 indexed citations

14.

Wright, Peter E., et al.. (1973). 4,5,6,7-Tetrachlorofluorescein; A Fluorescent Vital Stain for Cell Membranes. Stain Technology. 48(1). 41–42. 2 indexed citations

15.

Holt, Graham T., et al.. (1973). Use of Fluorescent Brighteners to Visualise the Sites of Cellulose Synthesis in the Root Hairs of Species of Peperomia. Physiologia Plantarum. 29(3). 440–441. 2 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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