John Moliterni

459 total citations
9 papers, 224 citations indexed

About

John Moliterni is a scholar working on Organic Chemistry, Molecular Biology and Oncology. According to data from OpenAlex, John Moliterni has authored 9 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organic Chemistry, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in John Moliterni's work include Synthesis of Tetrazole Derivatives (3 papers), Nitric Oxide and Endothelin Effects (3 papers) and Renin-Angiotensin System Studies (2 papers). John Moliterni is often cited by papers focused on Synthesis of Tetrazole Derivatives (3 papers), Nitric Oxide and Endothelin Effects (3 papers) and Renin-Angiotensin System Studies (2 papers). John Moliterni collaborates with scholars based in United States and Switzerland. John Moliterni's co-authors include Yoshitaka Satoh, Eli M. Wallace, Arco Y. Jeng, Paula Savage, Angelo J. Trapani, Mary Chou, Jenny Tan, Stéphane De Lombaert, Louis Blanchard and Daniël Hoyer and has published in prestigious journals such as Cancer Research, Journal of Medicinal Chemistry and Tetrahedron Letters.

In The Last Decade

John Moliterni

9 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Moliterni United States 8 139 96 44 33 21 9 224
Takashi Imada Japan 9 84 0.6× 98 1.0× 35 0.8× 15 0.5× 16 0.8× 9 242
Petra Johannesson Sweden 8 194 1.4× 137 1.4× 21 0.5× 33 1.0× 23 1.1× 11 356
Santiago Figueroa‐Pérez Germany 10 158 1.1× 248 2.6× 25 0.6× 62 1.9× 21 1.0× 13 469
Stephen R. Bertenshaw United States 11 258 1.9× 126 1.3× 57 1.3× 36 1.1× 20 1.0× 14 441
Elizabeth M. Naylor United States 11 136 1.0× 152 1.6× 34 0.8× 74 2.2× 13 0.6× 16 320
Daniele Volpi Italy 8 70 0.5× 119 1.2× 36 0.8× 37 1.1× 37 1.8× 13 254
Zhengming Du United States 6 82 0.6× 91 0.9× 31 0.7× 10 0.3× 16 0.8× 10 246
J. P. CHAPAT France 12 319 2.3× 177 1.8× 28 0.6× 28 0.8× 12 0.6× 39 431
Dennis Kubrak United States 7 97 0.7× 61 0.6× 30 0.7× 12 0.4× 12 0.6× 14 257
Raquel Garcı́a-Nieto Spain 9 98 0.7× 135 1.4× 40 0.9× 9 0.3× 26 1.2× 10 324

Countries citing papers authored by John Moliterni

Since Specialization
Citations

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

Fields of papers citing papers by John Moliterni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Moliterni

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

All Works

9 of 9 papers shown
1.
Daouti, Sherif, Brian Higgins, Kenneth Kolinsky, et al.. (2010). Preclinical In vivo Evaluation of Efficacy, Pharmacokinetics, and Pharmacodynamics of a Novel MEK1/2 Kinase Inhibitor RO5068760 in Multiple Tumor Models. Molecular Cancer Therapeutics. 9(1). 134–144. 23 indexed citations
2.
Ding, Qingjie, Nan Jiang, Xin‐Jie Chu, et al.. (2005). Design, synthesis of 1,4-cyclohexyldiamine substituted diaminopyrimidines as selective inhibitors of CDK1, CDK2 and CDK4 and their in vitro and in vivo evaluation. Cancer Research. 65. 1045–1045. 1 indexed citations
3.
McKenna, Jeffrey M., John Moliterni, & Ying Qiao. (2001). The scope and limitations of the Suzuki–Miyaura cross-coupling reactions of 6- and 8-substituted 1,2,3,4-tetrahydroisoquinoline-3-carboxylates. Tetrahedron Letters. 42(34). 5797–5800. 9 indexed citations
4.
Lombaert, Stéphane De, Louis Blanchard, Jenny Tan, et al.. (2000). Potent and Selective Non-Peptidic Inhibitors of Endothelin-Converting Enzyme-1 with Sustained Duration of Action. Journal of Medicinal Chemistry. 43(3). 488–504. 87 indexed citations
5.
Satoh, Yoshitaka, et al.. (1998). Synthesis of tetrazole analogs of α-amino acids by alkylation of a Schiff base of α-aminomethyltetrazole. Tetrahedron Letters. 39(21). 3367–3370. 8 indexed citations
6.
Wallace, Eli M., John Moliterni, Alan D. Neubert, et al.. (1998). Design and Synthesis of Potent, Selective Inhibitors of Endothelin-Converting Enzyme. Journal of Medicinal Chemistry. 41(9). 1513–1523. 44 indexed citations
7.
Satoh, Yoshitaka & John Moliterni. (1998). Homologation of 1-(Benzyloxymethyl)-1H-tetrazole via Lithiation. Synlett. 1998(5). 528–530. 24 indexed citations
8.
Moliterni, John, Leslie A. Robinson, Randy L. Webb, et al.. (1993). CGS 27830, a potent nonpeptide endothelin receptor antagonist. Bioorganic & Medicinal Chemistry Letters. 3(10). 2099–2104. 13 indexed citations
9.
Moliterni, John, et al.. (1990). Synthesis and pharmacological evaluation of a series of new 1,4-disubstituted 3-methyl-piperidine analgesics. Journal of Medicinal Chemistry. 33(10). 2876–2882. 15 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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