Matt Griffor

1.9k total citations · 1 hit paper
6 papers, 944 citations indexed

About

Matt Griffor is a scholar working on Molecular Biology, Nephrology and Geriatrics and Gerontology. According to data from OpenAlex, Matt Griffor has authored 6 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Nephrology and 1 paper in Geriatrics and Gerontology. Recurrent topics in Matt Griffor's work include Cancer therapeutics and mechanisms (2 papers), DNA Repair Mechanisms (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Matt Griffor is often cited by papers focused on Cancer therapeutics and mechanisms (2 papers), DNA Repair Mechanisms (2 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). Matt Griffor collaborates with scholars based in United States. Matt Griffor's co-authors include Boris A. Chrunyk, David Cunningham, John E. Bleasdale, Alison E. Varghese, Jessica Ward, Declan Flynn, Michelle Pacholec, Kay Ahn, Brian J. Stockman and V. Thanabal and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Bacteriology and Protein Science.

In The Last Decade

Matt Griffor

6 papers receiving 927 citations

Hit 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.

SRT1720, SRT2183, SRT1460, and Resveratrol Are Not Direct Activators of SIRT1

2010 723 citations Michelle Pacholec, John E. Bleasdale et al. Journal of Biological Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matt Griffor United States	6	524	416	308	237	121	6	944
Kamau Fahie United States	7	694 1.3×	427 1.0×	381 1.2×	520 2.2×	210 1.7×	8	1.2k
Birgit Heltweg Germany	10	840 1.6×	716 1.7×	305 1.0×	390 1.6×	220 1.8×	11	1.4k
Josue Baeza United States	11	458 0.9×	658 1.6×	216 0.7×	265 1.1×	142 1.2×	16	1.1k
Joshua J. Carson United States	11	381 0.7×	1.6k 3.8×	450 1.5×	279 1.2×	35 0.3×	12	2.1k
Yeyun Zhou United States	8	833 1.6×	678 1.6×	323 1.0×	483 2.0×	274 2.3×	10	1.4k
Ji-Min Woo South Korea	7	747 1.4×	648 1.6×	298 1.0×	427 1.8×	211 1.7×	13	1.3k
Saba Khan United States	2	729 1.4×	542 1.3×	295 1.0×	413 1.7×	206 1.7×	2	1.1k
Bradley R. Webster United States	12	196 0.4×	425 1.0×	158 0.5×	260 1.1×	36 0.3×	23	806
Mary E. Skinner United States	9	508 1.0×	640 1.5×	274 0.9×	311 1.3×	112 0.9×	15	1.3k
Gina Boanca United States	11	294 0.6×	342 0.8×	150 0.5×	181 0.8×	60 0.5×	13	657

Countries citing papers authored by Matt Griffor

Since Specialization

Citations

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

Fields of papers citing papers by Matt Griffor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Griffor

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

All Works

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6 of 6 papers shown

1.

Hall, J. Perry, Erik C. Ralph, Suman Shanker, et al.. (2017). The catalytic mechanism of cyclic GMP‐AMP synthase (cGAS) and implications for innate immunity and inhibition. Protein Science. 26(12). 2367–2380. 55 indexed citations

2.

Pacholec, Michelle, John E. Bleasdale, Boris A. Chrunyk, et al.. (2010). SRT1720, SRT2183, SRT1460, and Resveratrol Are Not Direct Activators of SIRT1. Journal of Biological Chemistry. 285(11). 8340–8351. 723 indexed citations breakdown →

3.

Han, Seungil, Jeanne S. Chang, & Matt Griffor. (2009). Structure of the adenylation domain of NAD⁺-dependent DNA ligase fromStaphylococcus aureus. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 65(11). 1078–1082. 9 indexed citations

4.

Han, Seungil, Anil Mistry, Jeanne S. Chang, et al.. (2009). Structural Characterization of Proline-rich Tyrosine Kinase 2 (PYK2) Reveals a Unique (DFG-out) Conformation and Enables Inhibitor Design. Journal of Biological Chemistry. 284(19). 13193–13201. 86 indexed citations

5.

Han, Seungil, et al.. (2007). Crystal structure of activin receptor type IIB kinase domain from human at 2.0 Å resolution. Protein Science. 16(10). 2272–2277. 25 indexed citations

6.

Kaczmarek, Frank S., Richard P. Zaniewski, Thomas D. Gootz, et al.. (2001). Cloning and Functional Characterization of an NAD ⁺ -Dependent DNA Ligase from Staphylococcus aureus. Journal of Bacteriology. 183(10). 3016–3024. 46 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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