Mark A. Nagy

1.6k total citations · 1 hit paper
4 papers, 1.0k citations indexed

About

Mark A. Nagy is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Mark A. Nagy has authored 4 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 1 paper in Oncology. Recurrent topics in Mark A. Nagy's work include Cancer Mechanisms and Therapy (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Mark A. Nagy is often cited by papers focused on Cancer Mechanisms and Therapy (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Mark A. Nagy collaborates with scholars based in United States and United Kingdom. Mark A. Nagy's co-authors include Thomas L. Fevig, Craig J. Knight, Timothy A. Johnson, Sandra M. Jennings, David A. Perry, Juan Colberg, Mark H. Stefaniak, Peter J. Dunn, H. Peter Kleine and Laurie A. LeBrun and has published in prestigious journals such as Journal of Medicinal Chemistry, Green Chemistry and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

In The Last Decade

Mark A. Nagy

4 papers receiving 985 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.

Green chemistry tools to influence a medicinal chemistry and research chemistry based organisation

2007 884 citations Juan Colberg, Peter J. Dunn et al. Green Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark A. Nagy United States	4	459	308	279	193	83	4	1.0k
Sandra M. Jennings United States	6	790 1.7×	309 1.0×	242 0.9×	198 1.0×	122 1.5×	6	1.3k
Anikó M. Redman United States	10	472 1.0×	394 1.3×	245 0.9×	242 1.3×	121 1.5×	11	1.2k
Lena Shukla United Kingdom	8	666 1.5×	335 1.1×	182 0.7×	191 1.0×	172 2.1×	10	1.2k
Catherine M. Alder United Kingdom	9	536 1.2×	376 1.2×	189 0.7×	233 1.2×	126 1.5×	12	1.1k
H. Peter Kleine Germany	11	575 1.3×	309 1.0×	340 1.2×	200 1.0×	109 1.3×	13	1.2k
Mark H. Stefaniak United Kingdom	10	674 1.5×	310 1.0×	277 1.0×	194 1.0×	102 1.2×	16	1.2k
Graham G. A. Inglis United Kingdom	15	824 1.8×	385 1.3×	474 1.7×	248 1.3×	119 1.4×	29	1.6k
Craig J. Knight United Kingdom	4	448 1.0×	308 1.0×	168 0.6×	192 1.0×	86 1.0×	6	900
Louis J. Diorazio United Kingdom	19	760 1.7×	191 0.6×	353 1.3×	129 0.7×	366 4.4×	51	1.2k
Juan Colberg United States	11	739 1.6×	458 1.5×	252 0.9×	357 1.8×	154 1.9×	17	1.4k

Countries citing papers authored by Mark A. Nagy

Since Specialization

Citations

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

Fields of papers citing papers by Mark A. Nagy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Nagy. 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 Mark A. Nagy. The network helps show where Mark A. Nagy may publish in the future.

Co-authorship network of co-authors of Mark A. Nagy

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

All Works

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4 of 4 papers shown

1.

Hansen, Joshua D., Matthew Correa, Mark A. Nagy, et al.. (2021). CC-90009: A Cereblon E3 Ligase Modulating Drug That Promotes Selective Degradation of GSPT1 for the Treatment of Acute Myeloid Leukemia. Journal of Medicinal Chemistry. 64(4). 1835–1843. 100 indexed citations

2.

Riggs, Jennifer R., Dale Robinson, Lida Tehrani, et al.. (2019). Design and Optimization Leading to an Orally Active TTK Protein Kinase Inhibitor with Robust Single Agent Efficacy. Journal of Medicinal Chemistry. 62(9). 4401–4410. 17 indexed citations

3.

Colberg, Juan, Peter J. Dunn, Thomas L. Fevig, et al.. (2007). Green chemistry tools to influence a medicinal chemistry and research chemistry based organisation. Green Chemistry. 10(1). 31–36. 884 indexed citations breakdown →

4.

Schindler, John F., William F. Hood, Thomas P. Kasten, et al.. (2002). Examination of the kinetic mechanism of mitogen-activated protein kinase activated protein kinase-2. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1598(1-2). 88–97. 15 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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