A. C. Good

737 total citations
11 papers, 442 citations indexed

About

A. C. Good is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, A. C. Good has authored 11 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Spectroscopy. Recurrent topics in A. C. Good's work include Computational Drug Discovery Methods (6 papers), Analytical Chemistry and Chromatography (4 papers) and Chemical Synthesis and Analysis (2 papers). A. C. Good is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Analytical Chemistry and Chromatography (4 papers) and Chemical Synthesis and Analysis (2 papers). A. C. Good collaborates with scholars based in United States and United Kingdom. A. C. Good's co-authors include W. Graham Richards, Jonathan Mason, E.R. Martin, Edward E. Hodgkin, Fiona McPhee, Charles S. Craik, Irwin D. Kuntz, Nicholas A. Meanwell, Kap‐Sun Yeung and Marta Isasa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Pharmaceutical Design and Journal of Computer-Aided Molecular Design.

In The Last Decade

A. C. Good

11 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. C. Good United States 8 282 241 94 82 67 11 442
Mark A. Hermsmeier United States 14 302 1.1× 349 1.4× 94 1.0× 174 2.1× 72 1.1× 23 663
Marco Scarsi Switzerland 10 237 0.8× 475 2.0× 38 0.4× 71 0.9× 83 1.2× 11 599
Markus Sitzmann United States 11 334 1.2× 292 1.2× 65 0.7× 98 1.2× 87 1.3× 12 530
Fredrik Österberg Sweden 6 314 1.1× 534 2.2× 45 0.5× 117 1.4× 94 1.4× 7 711
Martin Almlöf Sweden 6 170 0.6× 411 1.7× 43 0.5× 56 0.7× 79 1.2× 9 537
Nicola J. Richmond United Kingdom 9 284 1.0× 254 1.1× 54 0.6× 94 1.1× 49 0.7× 12 500
Daniel A. Gschwend United States 10 281 1.0× 366 1.5× 34 0.4× 133 1.6× 70 1.0× 11 546
M.A. Gallardo Spain 11 253 0.9× 267 1.1× 92 1.0× 222 2.7× 128 1.9× 18 659
Boryeu Mao United States 16 197 0.7× 493 2.0× 84 0.9× 71 0.9× 98 1.5× 26 695
Joseph B. Moon United States 15 305 1.1× 424 1.8× 44 0.5× 177 2.2× 60 0.9× 22 761

Countries citing papers authored by A. C. Good

Since Specialization
Citations

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

Fields of papers citing papers by A. C. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. C. Good

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

All Works

11 of 11 papers shown
1.
Thomenius, Michael J., Jason K. Kirby, Roman V. Agafonov, et al.. (2023). CFT7455, a novel IKZF1/3 degrader, demonstrates potent activity in peripheral and CNS models of NHL as a single agent or in combination with clinically approved agents. Hematological Oncology. 41(S2). 550–551. 4 indexed citations
2.
Isasa, Marta, Roman V. Agafonov, Prasoon Chaturvedi, et al.. (2021). CFT7455: A NOVEL, IKZF1/3 DEGRADER THAT DEMONSTRATES POTENT TUMOR REGRESSION IN A SPECTRUM OF NHL XENOGRAFT MODELS. Hematological Oncology. 39(S2). 3 indexed citations
3.
McPhee, Fiona, Kap‐Sun Yeung, A. C. Good, & Nicholas A. Meanwell. (2003). Hepatitis C virus NS3 serine protease as a drug discovery target. Drugs of the Future. 28(5). 465–465. 11 indexed citations
4.
Mason, Jonathan, A. C. Good, & E.R. Martin. (2001). 3-D Pharmacophores in Drug Discovery. Current Pharmaceutical Design. 7(7). 567–597. 151 indexed citations
5.
Good, A. C.. (2001). Structure-based virtual screening protocols.. PubMed. 4(3). 301–7. 20 indexed citations
6.
McPhee, Fiona, A. C. Good, Irwin D. Kuntz, & Charles S. Craik. (1996). Engineering human immunodeficiency virus 1 protease heterodimers as macromolecular inhibitors of viral maturation.. Proceedings of the National Academy of Sciences. 93(21). 11477–11481. 31 indexed citations
7.
Good, A. C.. (1993). The utilization of gaussian functions for the rapid evaluation of molecular similarity. Journal of Molecular Graphics. 11(1). 62–62. 4 indexed citations
8.
Good, A. C. & W. Graham Richards. (1993). Rapid evaluation of shape similarity using Gaussian functions. Journal of Chemical Information and Computer Sciences. 33(1). 112–116. 72 indexed citations
9.
Good, A. C., Edward E. Hodgkin, & W. Graham Richards. (1992). Similarity screening of molecular data sets. Journal of Computer-Aided Molecular Design. 6(5). 513–520. 17 indexed citations
10.
Good, A. C.. (1992). The calculation of molecular similarity: alternative formulas, data manipulation and graphical display. Journal of Molecular Graphics. 10(3). 144–151. 37 indexed citations
11.
Good, A. C., Edward E. Hodgkin, & W. Graham Richards. (1992). Utilization of Gaussian functions for the rapid evaluation of molecular similarity. Journal of Chemical Information and Computer Sciences. 32(3). 188–191. 92 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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