Timothy J. Martins

2.5k total citations · 1 hit paper
29 papers, 1.9k citations indexed

About

Timothy J. Martins is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Timothy J. Martins has authored 29 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Hematology and 4 papers in Genetics. Recurrent topics in Timothy J. Martins's work include Phosphodiesterase function and regulation (10 papers), Acute Myeloid Leukemia Research (7 papers) and Chemical Synthesis and Analysis (4 papers). Timothy J. Martins is often cited by papers focused on Phosphodiesterase function and regulation (10 papers), Acute Myeloid Leukemia Research (7 papers) and Chemical Synthesis and Analysis (4 papers). Timothy J. Martins collaborates with scholars based in United States, Mexico and Canada. Timothy J. Martins's co-authors include Joseph A. Beavo, Marc C. Mumby, K M Ferguson, Kate Loughney, Michael Wigler, Linda Rodgers, M Riggs, Tamar Michaeli, William K. Sonnenburg and Randall T. Moon and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Timothy J. Martins

24 papers receiving 1.8k 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.

High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping

2018 329 citations Stefan Czerniecki, Nelly M. Cruz et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy J. Martins United States	14	1.6k	320	230	187	163	29	1.9k
Michał Bieńkowski Poland	24	1.2k 0.7×	156 0.5×	322 1.4×	126 0.7×	41 0.3×	80	2.3k
Leonard P. Adam United States	24	1.2k 0.8×	145 0.5×	98 0.4×	435 2.3×	56 0.3×	52	2.0k
Dmitri Pchejetski United Kingdom	28	1.9k 1.2×	118 0.4×	261 1.1×	258 1.4×	49 0.3×	54	2.4k
Shili Wu United States	18	2.2k 1.4×	488 1.5×	271 1.2×	1.2k 6.3×	233 1.4×	34	3.5k
Richard Hummel Germany	26	2.1k 1.4×	101 0.3×	454 2.0×	405 2.2×	59 0.4×	86	3.3k
Takami Yurugi-Kobayashi Japan	16	1.4k 0.9×	220 0.7×	83 0.4×	132 0.7×	74 0.5×	19	2.0k
Caiping Chen China	21	782 0.5×	130 0.4×	214 0.9×	127 0.7×	44 0.3×	68	1.5k
Alejandra Tomás United Kingdom	27	1.5k 1.0×	91 0.3×	233 1.0×	202 1.1×	74 0.5×	61	2.4k
Rongrong Cui China	25	885 0.6×	371 1.2×	226 1.0×	198 1.1×	24 0.1×	59	1.8k
Urs Lüthi Switzerland	16	870 0.6×	121 0.4×	213 0.9×	163 0.9×	37 0.2×	34	1.6k

Countries citing papers authored by Timothy J. Martins

Since Specialization

Citations

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

Fields of papers citing papers by Timothy J. Martins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Martins. 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 Timothy J. Martins. The network helps show where Timothy J. Martins may publish in the future.

Co-authorship network of co-authors of Timothy J. Martins

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

All Works

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20 of 20 papers shown

Tan, Patrick, Timothy J. Martins, Pamela S. Becker, Robert J. Wechsler‐Reya, & John R. Crawford. (2025). Case Report: Application of ex-vivo drug sensitivity testing to identify personalized treatment options for an adolescent with diffuse midline glioma. Frontiers in Oncology. 15. 1606575–1606575.

Qin, Guangrong, Timothy J. Martins, Quy Nguyen, et al.. (2024). Mutation Patterns Predict Drug Sensitivity in Acute Myeloid Leukemia. Clinical Cancer Research. 30(12). 2659–2671. 12 indexed citations

Wang, Junqiang, Xu Zhang, Hong-Jian Wei, et al.. (2023). DIPG-49. A SYSTEMS BIOLOGY APPROACH TO DEFINING AND TARGETING CELL STATE-SPECIFIC MASTER REGULATOR DEPENDENCIES IN DIFFUSE MIDLINE GLIOMA. Neuro-Oncology. 25(Supplement_1). i24–i24.

Wang, Junqiang, Xu Zhang, Hong-Jian Wei, et al.. (2023). Abstract 4304: Network-based inference identifies cell state-specific drugs targeting master regulator vulnerabilities in diffuse midline glioma. Cancer Research. 83(7_Supplement). 4304–4304.

Coffey, David G., Andrew J. Cowan, Timothy J. Martins, et al.. (2021). High-Throughput Drug Screening and Multi-Omic Analysis to Guide Individualized Treatment for Multiple Myeloma. JCO Precision Oncology. 5(5). 602–612. 11 indexed citations

Qin, Guangrong, Ilya Shmulevich, Taek‐Kyun Kim, et al.. (2020). Co-Occurring Mutation Clusters Predict Drug Sensitivity in Acute Myeloid Leukemia. Blood. 136(Supplement 1). 12–13.

Halpern, Anna B., Timothy J. Martins, Erica C. Jonlin, et al.. (2020). Case of Chemotherapy-Refractory, RAS-Mutated Chronic Myelomonocytic Leukemia Responsive to Single-Agent Trametinib Based on Results From a High-Throughput Drug Screen. JCO Precision Oncology. 4(4). 1367–1373. 1 indexed citations

Czerniecki, Stefan, Nelly M. Cruz, Jennifer L. Harder, et al.. (2018). High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping. Cell stem cell. 22(6). 929–940.e4. 329 indexed citations breakdown →

Chang, Chan-Jung, Andriana G. Kotini, Malgorzata Olszewska, et al.. (2018). Dissecting the Contributions of Cooperating Gene Mutations to Cancer Phenotypes and Drug Responses with Patient-Derived iPSCs. Stem Cell Reports. 10(5). 1610–1624. 40 indexed citations

10.

Lee, Su‐In, Safiye Çelik, Benjamin A. Logsdon, et al.. (2017). A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia. Nature Communications. 9(1). 42–42. 192 indexed citations

11.

James, Richard G., Kathryn C. Davidson, Travis L. Biechele, et al.. (2012). WIKI4, a Novel Inhibitor of Tankyrase and Wnt/ß-Catenin Signaling. PLoS ONE. 7(12). e50457–e50457. 75 indexed citations

12.

Hothi, Parvinder, Timothy J. Martins, Liping Chen, et al.. (2012). High-Throughput Chemical Screens Identify Disulfiram as an Inhibitor of Human Glioblastoma Stem Cells. Oncotarget. 3(10). 1124–1136. 135 indexed citations

13.

Loughney, Kate, Timothy J. Martins, Edith A. S. Harris, et al.. (1996). Isolation and Characterization of cDNAs Corresponding to Two Human Calcium, Calmodulin-regulated, 3′,5′-Cyclic Nucleotide Phosphodiesterases. Journal of Biological Chemistry. 271(2). 796–806. 109 indexed citations

14.

Michaeli, Tamar, Timothy J. Bloom, Timothy J. Martins, et al.. (1993). Isolation and characterization of a previously undetected human cAMP phosphodiesterase by complementation of cAMP phosphodiesterase-deficient Saccharomyces cerevisiae. Journal of Biological Chemistry. 268(17). 12925–12932. 181 indexed citations

15.

Martins, Timothy J., Y. Sugimoto, & Raymond L. Erikson. (1989). Dissociation of inositol trisphosphate from diacylglycerol production in Rous sarcoma virus-transformed fibroblasts.. The Journal of Cell Biology. 108(2). 683–691. 22 indexed citations

16.

Erikson, Raymond L., David A. Alcorta, John Blenis, et al.. (1988). Molecular Analyses of Gene Products Associated with the Response of Cells to Mitogenic Stimulation. Cold Spring Harbor Symposia on Quantitative Biology. 53(0). 143–151. 9 indexed citations

17.

Harrison, Scott A., N. F. Beier, Timothy J. Martins, & Joseph A. Beavo. (1988). [62] Isolation and comparison of bovine heart cGMP-inhibited and cGMP-stimulated phosphodiesterases. Methods in enzymology on CD-ROM/Methods in enzymology. 159. 685–702. 8 indexed citations

18.

Hurwitz, Richard L., R. Scott Hansen, Scott A. Harrison, et al.. (1984). Immunologic approaches to the study of cyclic nucleotide phosphodiesterases.. PubMed. 16. 89–106. 2 indexed citations

19.

Mumby, Marc C., Timothy J. Martins, Mei Ling Chang, & Joseph A. Beavo. (1982). Identification of cGMP-stimulated cyclic nucleotide phosphodiesterase in lung tissue with monoclonal antibodies.. Journal of Biological Chemistry. 257(22). 13283–13290. 41 indexed citations

20.

Martins, Timothy J., Marc C. Mumby, & Joseph A. Beavo. (1982). Purification and characterization of a cyclic GMP-stimulated cyclic nucleotide phosphodiesterase from bovine tissues.. Journal of Biological Chemistry. 257(4). 1973–1979. 259 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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