A Monks

1.6k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

A Monks is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, A Monks has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in A Monks's work include Drug Transport and Resistance Mechanisms (4 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Cancer therapeutics and mechanisms (1 paper). A Monks is often cited by papers focused on Drug Transport and Resistance Mechanisms (4 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Cancer therapeutics and mechanisms (1 paper). A Monks collaborates with scholars based in United States, Netherlands and Spain. A Monks's co-authors include John N. Weinstein, Dominic A. Scudiero, Curtis Hose, Susan E. Bates, K Paull, Michael R. Grever, Edward A. Sausville, Joany Jackman, I Bae and Saijun Fan and has published in prestigious journals such as Journal of Clinical Investigation, British Journal of Cancer and Molecular Pharmacology.

In The Last Decade

A Monks

7 papers receiving 1.4k 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.

Characterization of the p53 tumor suppressor pathway in cell lines of the National Cancer Institute anticancer drug screen and correlations with the growth-inhibitory potency of 123 anticancer agents.

1997 760 citations P M O'Connor, Joany Jackman et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A Monks United States	5	892	885	199	132	95	7	1.4k
Tami Annable United States	17	459 0.5×	571 0.6×	130 0.7×	127 1.0×	53 0.6×	23	1.0k
C.R. Fairchild United States	11	733 0.8×	664 0.8×	87 0.4×	108 0.8×	74 0.8×	12	1.1k
Karen G. Louie United States	9	672 0.8×	1.0k 1.2×	188 0.9×	163 1.2×	64 0.7×	12	1.7k
E Schneider United States	17	1.1k 1.2×	1.0k 1.1×	122 0.6×	60 0.5×	44 0.5×	21	1.8k
Kendra D. Tutsch United States	19	502 0.6×	773 0.9×	207 1.0×	93 0.7×	45 0.5×	39	1.5k
Edward K. Han United States	26	764 0.9×	1.2k 1.3×	233 1.2×	182 1.4×	81 0.9×	32	1.9k
John C. Schmitz United States	20	475 0.5×	837 0.9×	180 0.9×	112 0.8×	47 0.5×	59	1.4k
Kiyohiro Nishikawa Japan	21	397 0.4×	767 0.9×	150 0.8×	348 2.6×	97 1.0×	56	1.4k
Pamela A. Havre United States	20	379 0.4×	897 1.0×	267 1.3×	58 0.4×	49 0.5×	33	1.4k
Ryo Atsumi Japan	18	1.2k 1.4×	705 0.8×	98 0.5×	159 1.2×	36 0.4×	39	2.1k

Countries citing papers authored by A Monks

Since Specialization

Citations

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

Fields of papers citing papers by A Monks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Monks

This figure shows the co-authorship network connecting the top 25 collaborators of A Monks. A scholar is included among the top collaborators of A Monks 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 Monks. A Monks 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.

Monks, A, et al.. (2003). The US-NCI cell based screen The role of target expression profiling in developmental therapeutics. 26(4). 388–389. 1 indexed citations

2.

Scheffer, G L, Mariska C. de Jong, A Monks, et al.. (2002). Increased expression of beta 2-microglobulin in multidrug-resistant tumour cells. British Journal of Cancer. 86(12). 1943–1950. 13 indexed citations

3.

O'Connor, P M, Joany Jackman, I Bae, et al.. (1997). Characterization of the p53 tumor suppressor pathway in cell lines of the National Cancer Institute anticancer drug screen and correlations with the growth-inhibitory potency of 123 anticancer agents.. PubMed. 57(19). 4285–300. 760 indexed citations breakdown →

4.

Álvarez, Mauricio Muleiro, K Paull, A Monks, et al.. (1995). Generation of a drug resistance profile by quantitation of mdr-1/P-glycoprotein in the cell lines of the National Cancer Institute Anticancer Drug Screen.. Journal of Clinical Investigation. 95(5). 2205–2214. 190 indexed citations

5.

Paull, K, Marina Álvarez Benito, Curtis Hose, et al.. (1994). Rhodamine efflux patterns predict P-glycoprotein substrates in the National Cancer Institute drug screen.. Molecular Pharmacology. 46(4). 627–638. 301 indexed citations

6.

Wu, Lin, Susanna Stinson, A Monks, et al.. (1992). Multidrug-resistant phenotype of disease-oriented panels of human tumor cell lines used for anticancer drug screening.. PubMed. 52(11). 3029–34. 144 indexed citations

7.

Paull, Kenneth D., et al.. (1988). Reproducibility and response patterns of the ic50 values and relative cell line sensitivities from the nci human tumor cell line drug screening project. 29. 488. 3 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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