Al Stewart

2.8k total citations · 1 hit paper
7 papers, 564 citations indexed

About

Al Stewart is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Al Stewart has authored 7 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Infectious Diseases. Recurrent topics in Al Stewart's work include Epigenetics and DNA Methylation (2 papers), Cancer-related gene regulation (2 papers) and Cancer therapeutics and mechanisms (1 paper). Al Stewart is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Cancer-related gene regulation (2 papers) and Cancer therapeutics and mechanisms (1 paper). Al Stewart collaborates with scholars based in United States, Italy and China. Al Stewart's co-authors include K.S. Gajiwala, Ben Bolaños, Rose Ann Ferre, Junli Feng, Kevin Ryan, John C. Kath, Scott L. Weinrich, Oleg Brodsky, S.E. Greasley and Stephen E. Kaiser and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Chemical Biology.

In The Last Decade

Al Stewart

7 papers receiving 554 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.

Structural basis for the in vitro efficacy of nirmatrelvir against SARS-CoV-2 variants

2022 114 citations S.E. Greasley, Stephen Noell 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
Al Stewart United States	7	354	125	103	88	84	7	564
Jim Nonomiya United States	13	390 1.1×	127 1.0×	72 0.7×	82 0.9×	127 1.5×	18	659
Andrii Monastyrskyi United States	12	315 0.9×	169 1.4×	57 0.6×	33 0.4×	181 2.2×	25	614
Cuiting Peng China	16	395 1.1×	80 0.6×	39 0.4×	118 1.3×	215 2.6×	36	691
Sheri Rogers United States	4	292 0.8×	88 0.7×	68 0.7×	104 1.2×	102 1.2×	7	477
Guoyi Yan China	14	332 0.9×	125 1.0×	47 0.5×	32 0.4×	228 2.7×	39	608
Liye He Finland	9	443 1.3×	138 1.1×	171 1.7×	40 0.5×	25 0.3×	16	665
Kiyoaki Sakata United States	14	476 1.3×	166 1.3×	51 0.5×	83 0.9×	320 3.8×	19	865
Csaba Szántai-Kis Hungary	13	258 0.7×	79 0.6×	78 0.8×	97 1.1×	111 1.3×	24	423
Laxman Nallan United States	11	285 0.8×	57 0.5×	71 0.7×	40 0.5×	137 1.6×	11	544

Countries citing papers authored by Al Stewart

Since Specialization

Citations

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

Fields of papers citing papers by Al Stewart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Al Stewart

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Liu, Zhonglin, Marscha Hirschi, Oleg Brodsky, et al.. (2024). An allosteric cyclin E-CDK2 site mapped by paralog hopping with covalent probes. Nature Chemical Biology. 21(3). 420–431. 7 indexed citations

2.

Greasley, S.E., Stephen Noell, Olga Plotnikova, et al.. (2022). Structural basis for the in vitro efficacy of nirmatrelvir against SARS-CoV-2 variants. Journal of Biological Chemistry. 298(6). 101972–101972. 114 indexed citations breakdown →

3.

Ryan, Kevin, Ben Bolaños, Marissa L. Smith, et al.. (2020). Dissecting the molecular determinants of clinical PARP1 inhibitor selectivity for tankyrase1. Journal of Biological Chemistry. 296. 100251–100251. 54 indexed citations

4.

Quinlan, Casey L., Stephen E. Kaiser, Ben Bolaños, et al.. (2017). Targeting S-adenosylmethionine biosynthesis with a novel allosteric inhibitor of Mat2A. Nature Chemical Biology. 13(7). 785–792. 91 indexed citations

5.

Gajiwala, K.S., Neil B. Grodsky, Ben Bolaños, et al.. (2017). The Axl kinase domain in complex with a macrocyclic inhibitor offers first structural insights into an active TAM receptor kinase. Journal of Biological Chemistry. 292(38). 15705–15716. 41 indexed citations

6.

Brooun, Alexei, K.S. Gajiwala, Ya‐Li Deng, et al.. (2016). Polycomb repressive complex 2 structure with inhibitor reveals a mechanism of activation and drug resistance. Nature Communications. 7(1). 11384–11384. 117 indexed citations

7.

Gajiwala, K.S., Junli Feng, Rose Ann Ferre, et al.. (2012). Insights into the Aberrant Activity of Mutant EGFR Kinase Domain and Drug Recognition. Structure. 21(2). 209–219. 140 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.

Explore authors with similar magnitude of impact