Michael Farnum

1.0k total citations
20 papers, 683 citations indexed

About

Michael Farnum is a scholar working on Molecular Biology, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Michael Farnum has authored 20 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Psychiatry and Mental health. Recurrent topics in Michael Farnum's work include Alzheimer's disease research and treatments (5 papers), Dementia and Cognitive Impairment Research (5 papers) and Scientific Computing and Data Management (4 papers). Michael Farnum is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Dementia and Cognitive Impairment Research (5 papers) and Scientific Computing and Data Management (4 papers). Michael Farnum collaborates with scholars based in United States and Israel. Michael Farnum's co-authors include Victor S. Lobanov, Maxwell D. Cummings, Marina I. Nelen, Eric Yang, Vaibhav A. Narayan, Allitia DiBernardo, Nandini Raghavan, Dimitris K. Agrafiotis, Gerald Novak and Mahesh N. Samtani and has published in prestigious journals such as Nature Reviews Drug Discovery, Journal of Medicinal Chemistry and Proteins Structure Function and Bioinformatics.

In The Last Decade

Michael Farnum

20 papers receiving 667 citations

Peers

Michael Farnum

PMH

PHYSI

CTM

Tianle Chen United States

Nandini Raghavan United States

Péter Antal Hungary

Steven J. Kiddle United Kingdom

Qinying Zhao United States

Mo Yi China

Sandra A. G. Visser United States

Guanfang Wang China

Pankaj Daga United States

Gianluca Nucci Italy

Tianle Chen United States

Michael Farnum

165 ×0.7

143 ×0.6

PMH

241 ×1.7

PHYSI

52 ×0.4

CTM

31 ×0.3

Citations per year, relative to Michael Farnum Michael Farnum (= 1×) peers Tianle Chen

Countries citing papers authored by Michael Farnum

Since Specialization

Citations

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

Fields of papers citing papers by Michael Farnum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Farnum

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

Yang, Eric, et al.. (2019). A late-binding, distributed, NoSQL warehouse for integrating patient data from clinical trials. Database. 2019. 8 indexed citations

Abraham, Thomas, et al.. (2019). A new risk and issue management system to improve productivity, quality, and compliance in clinical trials. JAMIA Open. 2(2). 216–221. 11 indexed citations

Farnum, Michael, et al.. (2019). A cross-source, system-agnostic solution for clinical data review. Database. 2019. 1 indexed citations

Farnum, Michael, et al.. (2019). A dimensional warehouse for integrating operational data from clinical trials. Database. 2019. 9 indexed citations

Agrafiotis, Dimitris K., et al.. (2018). Risk-based Monitoring of Clinical Trials: An Integrative Approach. Clinical Therapeutics. 40(7). 1204–1212. 27 indexed citations

Liu, Yashu, Zhi Nie, Jiayu Zhou, et al.. (2013). SPARSE GENERALIZED FUNCTIONAL LINER MODEL FOR PREDICTING REMISSION STATUS OF DEPRESSION PATIENTS. PubMed. 364–375. 6 indexed citations

Ye, Jieping, Michael Farnum, Eric Yang, et al.. (2012). Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data. BMC Neurology. 12(1). 46–46. 111 indexed citations

Samtani, Mahesh N., Nandini Raghavan, Yingqi Shi, et al.. (2012). Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypes. British Journal of Clinical Pharmacology. 75(1). 146–161. 40 indexed citations

Yang, Eric, Michael Farnum, Victor S. Lobanov, et al.. (2012). A Novel Subject Synchronization Clinical Trial Design for Alzheimer's Disease. Journal of Alzheimer s Disease. 31(3). 507–516. 2 indexed citations

10.

Farnum, Michael, et al.. (2012). Clinical Case: Enhancing medical monitoring with visualization and analytics. 1–1. 2 indexed citations

11.

Raghavan, Nandini, Mahesh N. Samtani, Michael Farnum, et al.. (2012). The ADAS‐Cog revisited: Novel composite scales based on ADAS‐Cog to improve efficiency in MCI and early AD trials. Alzheimer s & Dementia. 9(1S). S21–31. 72 indexed citations

12.

Yang, Eric, Michael Farnum, Victor S. Lobanov, et al.. (2011). Quantifying the Pathophysiological Timeline of Alzheimer's Disease. Journal of Alzheimer s Disease. 26(4). 745–753. 53 indexed citations

13.

Samtani, Mahesh N., Michael Farnum, Victor S. Lobanov, et al.. (2011). An Improved Model for Disease Progression in Patients From the Alzheimer's Disease Neuroimaging Initiative. The Journal of Clinical Pharmacology. 52(5). 629–644. 62 indexed citations

14.

Agrafiotis, Dimitris K., Victor S. Lobanov, Dmitrii N. Rassokhin, et al.. (2011). Efficient Substructure Searching of Large Chemical Libraries: The ABCD Chemical Cartridge. Journal of Chemical Information and Modeling. 51(12). 3113–3130. 23 indexed citations

15.

Cepeda, M. Soledad, Victor S. Lobanov, Michael Farnum, et al.. (2009). Broadening access to electronic healthcare databases. Nature Reviews Drug Discovery. 9(1). 84–84. 12 indexed citations

16.

Agrafiotis, Dimitris K., et al.. (2007). SAR Maps: A New SAR Visualization Technique for Medicinal Chemists. Journal of Medicinal Chemistry. 50(24). 5926–5937. 61 indexed citations

17.

Cummings, Maxwell D., Michael Farnum, & Marina I. Nelen. (2006). Universal Screening Methods and Applications of ThermoFluor®. SLAS DISCOVERY. 11(7). 854–863. 139 indexed citations

18.

Agrafiotis, Dimitris K., Deepak Bandyopadhyay, & Michael Farnum. (2006). Radial Clustergrams: Visualizing the Aggregate Properties of Hierarchical Clusters. Journal of Chemical Information and Modeling. 47(1). 69–75. 15 indexed citations

19.

Izrailev, Sergei & Michael Farnum. (2004). Enzyme classification by ligand binding. Proteins Structure Function and Bioinformatics. 57(4). 711–724. 19 indexed citations

20.

Farnum, Michael, Huafeng Xu, & Dimitris K. Agrafiotis. (2003). Exploring the nonlinear geometry of protein homology. Protein Science. 12(8). 1604–1612. 10 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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