Ferdous Gheyas

1.5k total citations
26 papers, 875 citations indexed

About

Ferdous Gheyas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Ferdous Gheyas has authored 26 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Oncology. Recurrent topics in Ferdous Gheyas's work include Cardiac electrophysiology and arrhythmias (3 papers), Statistical Methods in Clinical Trials (3 papers) and Asthma and respiratory diseases (3 papers). Ferdous Gheyas is often cited by papers focused on Cardiac electrophysiology and arrhythmias (3 papers), Statistical Methods in Clinical Trials (3 papers) and Asthma and respiratory diseases (3 papers). Ferdous Gheyas collaborates with scholars based in United States, United Kingdom and Japan. Ferdous Gheyas's co-authors include Iain Scott, Yongjun Liu, Vassili Soumelis, G. Cozon, Damien Bouhour, Laurent Cotte, Laurence Huang, Jay A. Levy, Luquan Wang and Jonathan Greene and has published in prestigious journals such as Nature Genetics, Blood and Cancer Research.

In The Last Decade

Ferdous Gheyas

25 papers receiving 850 citations

Peers

Ferdous Gheyas

IMMUN

VIROL

ONCOL

EPIDE

Xiaoming Zou China

Jie Lin China

Leslie Obert United States

J P Shaw United States

Isabelle Girault France

Nicos Karasavvas United States

Danielle M. Carrick United States

Jia Guo United States

Marty S. Springer United States

Kirstin Stricker Switzerland

Xiaoming Zou China

Ferdous Gheyas

241 ×0.7

IMMUN

370 ×1.2

125 ×0.7

VIROL

155 ×1.0

ONCOL

49 ×0.5

EPIDE

Citations per year, relative to Ferdous Gheyas Ferdous Gheyas (= 1×) peers Xiaoming Zou

Countries citing papers authored by Ferdous Gheyas

Since Specialization

Citations

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

Fields of papers citing papers by Ferdous Gheyas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferdous Gheyas

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

Hu, Ziheng, et al.. (2024). Population pharmacokinetic modeling of sotatercept in healthy participants and patients with pulmonary arterial hypertension. CPT Pharmacometrics & Systems Pharmacology. 13(8). 1380–1393. 2 indexed citations

Galluppi, Gerald R., Malidi Ahamadi, Nageshwar Budha, et al.. (2024). Considerations for Industry—Preparing for the FDA Model‐Informed Drug Development (MIDD) Paired Meeting Program. Clinical Pharmacology & Therapeutics. 116(2). 282–288. 6 indexed citations

Chawla, Akshita, Azher Hussain, Huub Jan Kleijn, et al.. (2023). Population pharmacokinetic analysis of the P2X3‐receptor antagonist gefapixant. CPT Pharmacometrics & Systems Pharmacology. 12(8). 1107–1118. 5 indexed citations

Trujillo, Maria E., Surya Ayalasomayajula, Robert O. Blaustein, & Ferdous Gheyas. (2023). Vericiguat, a novel sGC stimulator: Mechanism of action, clinical, and translational science. Clinical and Translational Science. 16(12). 2458–2466. 24 indexed citations

Valiathan, Chandni, et al.. (2021). A method to estimate probability of disease and vaccine efficacy from clinical trial immunogenicity data. npj Vaccines. 6(1). 133–133. 7 indexed citations

Jacobs, Conrad, Bernardo L. Rapoport, Graham Cohen, et al.. (2021). Abstract CT143: Pembrolizumab bioavailability after subcutaneous administration: analysis from the KEYNOTE-555 Cohort A in metastatic melanoma. Cancer Research. 81(13_Supplement). CT143–CT143. 8 indexed citations

Patel, Munjal, Francesco Bellanti, David W. Hilbert, et al.. (2021). Population pharmacokinetic/pharmacodynamic assessment of imipenem/cilastatin/relebactam in patients with hospital‐acquired/ventilator‐associated bacterial pneumonia. Clinical and Translational Science. 15(2). 396–408. 18 indexed citations

Ahamadi, Malidi, Paul M. Diderichsen, Rik de Greef, et al.. (2019). Operating characteristics of stepwise covariate selection in pharmacometric modeling. Journal of Pharmacokinetics and Pharmacodynamics. 46(3). 273–285. 16 indexed citations

Dockendorf, Marissa F., et al.. (2018). Leveraging model-informed approaches for drug discovery and development in the cardiovascular space. Journal of Pharmacokinetics and Pharmacodynamics. 45(3). 355–364. 4 indexed citations

10.

Krishna, Rajesh, Ferdous Gheyas, Yang Liu, et al.. (2017). Pharmacokinetics and Pharmacodynamics of Anacetrapib Following Single Doses in Healthy, Young Japanese and White Male Subjects. The Journal of Clinical Pharmacology. 58(2). 254–262. 4 indexed citations

11.

Gheyas, Ferdous, Junghoon Lee, Anne Chain, et al.. (2015). Pharmacokinetic and Pharmacokinetic/ Pharmacodynamic Modeling to Inform Optimal Dose of Vorapaxar. Journal of Pharmacokinetics and Pharmacodynamics. 42. 1 indexed citations

12.

Hartmann, Gunther, Sanjeev Kumar, Douglas G. Johns, et al.. (2015). Disposition into Adipose Tissue Determines Accumulation and Elimination Kinetics of the Cholesteryl Ester Transfer Protein Inhibitor Anacetrapib in Mice. Drug Metabolism and Disposition. 44(3). 428–434. 13 indexed citations

13.

Bromley, Christina M., Sandra Close, Nadine Cohen, et al.. (2008). Designing pharmacogenetic projects in industry: practical design perspectives from the Industry Pharmacogenomics Working Group. The Pharmacogenomics Journal. 9(1). 14–22. 14 indexed citations

14.

Mirza, Asra, Qun Wu, Luquan Wang, et al.. (2003). Global transcriptional program of p53 target genes during the process of apoptosis and cell cycle progression. Oncogene. 22(23). 3645–3654. 143 indexed citations

15.

Umland, Shelby P., Yuntao Wan, Himanshu Shah, et al.. (2003). Mouse ADAM33. American Journal of Respiratory Cell and Molecular Biology. 30(4). 530–539. 12 indexed citations

16.

Zou, Jun, Simon Young, Feng Zhu, et al.. (2002). Identification of Differentially Expressed Genes in a Monkey Model of Allergic Asthma by Microarray Technology. CHEST Journal. 121(3). 26S–27S. 12 indexed citations

17.

Zou, Jun, Simon Young, Feng Zhu, et al.. (2002). Microarray profile of differentially expressed genes in a monkey model of allergic asthma. Genome biology. 3(5). research0020–research0020. 85 indexed citations

18.

Kostich, Mitch, Jessie M. English, Vincent Madison, et al.. (2002). Human members of the eukaryotic protein kinase family. Genome biology. 3(9). RESEARCH0043–RESEARCH0043. 98 indexed citations

19.

Soumelis, Vassili, Iain Scott, Ferdous Gheyas, et al.. (2001). Depletion of circulating natural type 1 interferon-producing cells in HIV-infected AIDS patients. Blood. 98(4). 906–912. 317 indexed citations

20.

Liu, Suxing, Qun Wu, Paul T. Kirschmeier, et al.. (2001). Genome-wide gene expression analysis of human breast cancer cells. Nature Genetics. 27(S4). 90–90. 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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