Don Saner

692 total citations
8 papers, 528 citations indexed

About

Don Saner is a scholar working on Atomic and Molecular Physics, and Optics, Epidemiology and Pharmacology. According to data from OpenAlex, Don Saner has authored 8 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Atomic and Molecular Physics, and Optics, 2 papers in Epidemiology and 2 papers in Pharmacology. Recurrent topics in Don Saner's work include Force Microscopy Techniques and Applications (4 papers), Chronic Disease Management Strategies (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). Don Saner is often cited by papers focused on Force Microscopy Techniques and Applications (4 papers), Chronic Disease Management Strategies (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). Don Saner collaborates with scholars based in United States, India and United Kingdom. Don Saner's co-authors include Ratnesh Lal, Sanjeev G. Shroff, Peter H. O’Donnell, Keith Danahey, Mark J. Ratain, N J Cox, Jared Spitz, Soma Das, B. Drake and Paul K. Hansma and has published in prestigious journals such as American Journal of Physiology-Cell Physiology, Clinical Pharmacology & Therapeutics and Journal of Structural Biology.

In The Last Decade

Don Saner

8 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Don Saner United States	7	193	178	153	101	92	8	528
Kai D. Ludwig United States	11	31 0.2×	56 0.3×	15 0.1×	27 0.3×	74 0.8×	20	362
K Matsumoto Japan	13	88 0.5×	14 0.1×	9 0.1×	69 0.7×	219 2.4×	24	604
Yuki Matsushita Japan	11	51 0.3×	9 0.1×	12 0.1×	70 0.7×	77 0.8×	52	508
Steve K. Teo Switzerland	16	17 0.1×	45 0.3×	11 0.1×	37 0.4×	202 2.2×	18	634
Yuki Kikuchi Japan	8	60 0.3×	8 0.0×	22 0.1×	13 0.1×	119 1.3×	41	487
Momoko Ohori Japan	11	8 0.0×	46 0.3×	123 0.8×	17 0.2×	236 2.6×	17	498
Allison B Chambliss United States	10	16 0.1×	9 0.1×	157 1.0×	14 0.1×	258 2.8×	38	493
Hiroko Kondo Japan	14	22 0.1×	8 0.0×	81 0.5×	9 0.1×	241 2.6×	65	663
Juan Rodríguez United States	10	54 0.3×	9 0.1×	27 0.2×	9 0.1×	102 1.1×	16	405
Akiko Murata Japan	13	22 0.1×	11 0.1×	15 0.1×	11 0.1×	167 1.8×	49	588

Countries citing papers authored by Don Saner

Since Specialization

Citations

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

Fields of papers citing papers by Don Saner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Don Saner

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

All Works

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8 of 8 papers shown

1.

Carty, Cara L., Carolyn Noonan, Clemma Muller, et al.. (2020). Risk Factors for Alzheimer’s Disease and Related Dementia Diagnoses in American Indians. Ethnicity & Disease. 30(4). 671–680. 12 indexed citations

2.

O’Donnell, Peter H., Keith Danahey, Michael Jacobs, et al.. (2014). Adoption of a clinical pharmacogenomics implementation program during outpatient care–initial results of the University of Chicago “1,200 Patients Project”. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 166(1). 68–75. 92 indexed citations

3.

Boyd, Andrew D., Vincent Gardeux, Don Saner, et al.. (2014). COPD Hospitalization Risk Increased with Distinct Patterns of Multiple Systems Comorbidities Unveiled by Network Modeling.. PubMed. 2014. 855–64. 3 indexed citations

4.

O’Donnell, Peter H., Jared Spitz, Keith Danahey, et al.. (2012). The 1200 Patients Project: Creating a New Medical Model System for Clinical Implementation of Pharmacogenomics. Clinical Pharmacology & Therapeutics. 92(4). 446–449. 133 indexed citations

5.

John, Scott, Don Saner, J. D. Pitts, et al.. (1997). Atomic Force Microscopy of Arthropod Gap Junctions. Journal of Structural Biology. 120(1). 22–31. 18 indexed citations

6.

Shroff, Sanjeev G., Don Saner, & Ratnesh Lal. (1995). Dynamic micromechanical properties of cultured rat atrial myocytes measured by atomic force microscopy. American Journal of Physiology-Cell Physiology. 269(1). C286–C292. 206 indexed citations

7.

Lal, Ratnesh, et al.. (1995). Imaging real-time neurite outgrowth and cytoskeletal reorganization with an atomic force microscope. American Journal of Physiology-Cell Physiology. 269(1). C275–C285. 56 indexed citations

8.

Saner, Don, et al.. (1994). Atomic force microscopy of freeze‐fracture replicas of rat atrial tissue. Journal of Microscopy. 173(3). 173–181. 8 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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