David Toma

1.1k total citations
10 papers, 925 citations indexed

About

David Toma is a scholar working on Oncology, Pharmacology and Molecular Biology. According to data from OpenAlex, David Toma has authored 10 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Pharmacology and 4 papers in Molecular Biology. Recurrent topics in David Toma's work include Drug Transport and Resistance Mechanisms (5 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Adenosine and Purinergic Signaling (1 paper). David Toma is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Adenosine and Purinergic Signaling (1 paper). David Toma collaborates with scholars based in United States and China. David Toma's co-authors include Wen Xie, Songrong Ren, Hirdesh Uppal, Ying Mu, Ronald M. Evans, S. P. S. Saini, Haibiao Gong, Jie Zhou, Yonggong Zhai and Li Xu and has published in prestigious journals such as Journal of Biological Chemistry, Hepatology and Oncogene.

In The Last Decade

David Toma

10 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Toma United States	8	455	346	254	254	233	10	925
Yonggong Zhai China	5	160 0.4×	182 0.5×	301 1.2×	175 0.7×	227 1.0×	5	719
Lionel Drocourt France	8	910 2.0×	548 1.6×	293 1.2×	379 1.5×	100 0.4×	9	1.4k
Dagmara Mohuczy United States	12	203 0.4×	125 0.4×	303 1.2×	190 0.7×	149 0.6×	17	913
Jonathan P. Jackson United States	15	302 0.7×	279 0.8×	233 0.9×	138 0.5×	88 0.4×	21	821
Xiulong Song United States	18	218 0.5×	407 1.2×	259 1.0×	83 0.3×	160 0.7×	25	865
R W Bork United States	7	308 0.7×	223 0.6×	240 0.9×	199 0.8×	204 0.9×	7	992
M.J. Vilarem France	9	458 1.0×	281 0.8×	212 0.8×	165 0.6×	46 0.2×	14	742
Sui Ke United States	10	283 0.6×	242 0.7×	391 1.5×	74 0.3×	50 0.2×	13	1.1k
Lisa M. Augustine United States	14	326 0.7×	469 1.4×	332 1.3×	133 0.5×	94 0.4×	17	1.1k
Andrew J. Lickteig United States	15	227 0.5×	391 1.1×	239 0.9×	132 0.5×	103 0.4×	25	901

Countries citing papers authored by David Toma

Since Specialization

Citations

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

Fields of papers citing papers by David Toma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Toma

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

All Works

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10 of 10 papers shown

Gonzalez, Peter, et al.. (2021). A Comprehensive Survey of Industry 4.0, IIoT and Areas of Implementation. 1–6. 14 indexed citations

Sáenz-Robles, Maria Teresa, David Toma, Paul G. Cantalupo, et al.. (2007). Repression of intestinal drug metabolizing enzymes by the SV40 large T antigen. Oncogene. 26(35). 5124–5131. 7 indexed citations

Zhou, Jie, Yonggong Zhai, Ying Mu, et al.. (2006). A Novel Pregnane X Receptor-mediated and Sterol Regulatory Element-binding Protein-independent Lipogenic Pathway. Journal of Biological Chemistry. 281(21). 15013–15020. 301 indexed citations

Zhang, Jinnan, Shimin Zhang, Hong-Hao Zhou, et al.. (2006). Traditional Chinese Medicines Wu Wei Zi (Schisandra chinensis Baill) and Gan Cao (Glycyrrhiza uralensis Fisch) Activate Pregnane X Receptor and Increase Warfarin Clearance in Rats. Journal of Pharmacology and Experimental Therapeutics. 316(3). 1369–1377. 135 indexed citations

Saini, S. P. S., Ying Mu, Haibiao Gong, et al.. (2005). Dual role of orphan nuclear receptor pregnane X receptor in bilirubin detoxification in mice†. Hepatology. 41(3). 497–505. 70 indexed citations

Gong, Haibiao, Shivendra V. Singh, Sharda P. Singh, et al.. (2005). Orphan Nuclear Receptor Pregnane X Receptor Sensitizes Oxidative Stress Responses in Transgenic Mice and Cancerous Cells. Molecular Endocrinology. 20(2). 279–290. 88 indexed citations

Mu, Ying, Corey R. J. Stephenson, Christopher Kendall, et al.. (2005). A Pregnane X Receptor Agonist with Unique Species-Dependent Stereoselectivity and Its Implications in Drug Development. Molecular Pharmacology. 68(2). 403–413. 22 indexed citations

Uppal, Hirdesh, David Toma, S. P. S. Saini, et al.. (2005). Combined loss of orphan receptors PXR and CAR heightens sensitivity to toxic bile acids in mice. Hepatology. 41(1). 168–176. 87 indexed citations

Saini, S. P. S., Junichiro Sonoda, Li Xu, et al.. (2004). A Novel Constitutive Androstane Receptor-Mediated and CYP3A-Independent Pathway of Bile Acid Detoxification. Molecular Pharmacology. 65(2). 292–300. 200 indexed citations

10.

Harris, Kathleen Mullan, Jill L. King, David Toma, et al.. (1993). <title>Exploring computerized mammographic reporting with feedback</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1899. 46–52. 1 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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