Steven Ferrara

856 total citations
9 papers, 236 citations indexed

About

Steven Ferrara is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Steven Ferrara has authored 9 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Infectious Diseases and 2 papers in Organic Chemistry. Recurrent topics in Steven Ferrara's work include Biochemical and Molecular Research (3 papers), HIV/AIDS drug development and treatment (3 papers) and Asymmetric Synthesis and Catalysis (2 papers). Steven Ferrara is often cited by papers focused on Biochemical and Molecular Research (3 papers), HIV/AIDS drug development and treatment (3 papers) and Asymmetric Synthesis and Catalysis (2 papers). Steven Ferrara collaborates with scholars based in United States, Germany and United Kingdom. Steven Ferrara's co-authors include Marcus Bauser, Jonathan W. Burton, Sven Christian, Pascale Lejeune, Henrik Seidel, Ashley Eheim, Krzysztof Brzezinka, Julie-Aurore Losman, Claudia Merz and Detlef Stoeckigt and has published in prestigious journals such as Cancer Research, Scientific Reports and Chemistry - A European Journal.

In The Last Decade

Steven Ferrara

9 papers receiving 233 citations

Peers

Steven Ferrara

MB

CR

OC

ID

HEMAT

Dorothea Greiner Germany

Emine Ercikan Abali United States

Alexandre Erdmann France

Laura Simons France

Jun Hee Hong Australia

Scott D. Cowen United States

Andrea A. Romeo Switzerland

Yuandi Gao Canada

Eduardo J. Salustiano Brazil

Ryan K. Muir United States

Dorothea Greiner Germany

Steven Ferrara

340 ×2.0

MB

19 ×0.3

CR

57 ×1.1

OC

18 ×0.6

ID

11 ×0.5

HEMAT

Citations per year, relative to Steven Ferrara Steven Ferrara (= 1×) peers Dorothea Greiner

Countries citing papers authored by Steven Ferrara

Since Specialization

Citations

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

Fields of papers citing papers by Steven Ferrara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Ferrara

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

All Works

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9 of 9 papers shown

1.

Georgi, Victoria, Stefanie Bunse, Volker Badock, et al.. (2024). A miniaturized mode-of-action profiling platform enables high throughput characterization of the molecular and cellular dynamics of EZH2 inhibition. Scientific Reports. 14(1). 1739–1739. 4 indexed citations

2.

Rees, Matthew G., Lisa Brenan, Patrick Duggan, et al.. (2022). Systematic identification of biomarker-driven drug combinations to overcome resistance. Nature Chemical Biology. 18(6). 615–624. 9 indexed citations

3.

Christian, Sven, Claudia Merz, Laura Evans, et al.. (2019). The novel dihydroorotate dehydrogenase (DHODH) inhibitor BAY 2402234 triggers differentiation and is effective in the treatment of myeloid malignancies. Leukemia. 33(10). 2403–2415. 146 indexed citations

4.

Eheim, Ashley, Sven Christian, Hanna Meyer, et al.. (2019). Abstract 3597: BAY 2402234: Preclinical evaluation of a novel, selective dihydroorotate dehydrogenase (DHODH) inhibitor for the treatment of diffuse large B-cell lymphoma (DLBCL). Cancer Research. 79(13_Supplement). 3597–3597. 1 indexed citations

5.

Janzer, Andreas, David B. Sykes, Stefan Gradl, et al.. (2017). Abstract 3086: Inhibitors of the enzyme dihydroorotate dehydrogenase, overcome the differentiation blockade in acute myeloid leukemia. Cancer Research. 77(13_Supplement). 3086–3086. 1 indexed citations

6.

Haftchenary, Sina, Laura Furst, Sivaraman Dandapani, et al.. (2016). Efficient Routes to a Diverse Array of Amino Alcohol-Derived Chiral Fragments. ACS Combinatorial Science. 18(9). 569–574. 17 indexed citations

7.

Ferrara, Steven & Jonathan W. Burton. (2016). A Short Synthesis of Aphanamol I in Both Racemic and Enantiopure Forms. Chemistry - A European Journal. 22(33). 11597–11600. 15 indexed citations

8.

Thompson, Mark J., Steven Ferrara, Matthew P. Jackson, et al.. (2011). Discovery of 6-substituted indole-3-glyoxylamides as lead antiprion agents with enhanced cell line activity, improved microsomal stability and low toxicity. European Journal of Medicinal Chemistry. 46(9). 4125–4132. 20 indexed citations

9.

Thompson, Mark J., et al.. (2010). Structure–Activity Relationship Refinement and Further Assessment of Indole‐3‐glyoxylamides as a Lead Series against Prion Disease. ChemMedChem. 6(1). 115–130. 23 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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