Robert M. Bieganski

2.0k total citations · 1 hit paper
7 papers, 1.6k citations indexed

About

Robert M. Bieganski is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Robert M. Bieganski has authored 7 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Robert M. Bieganski's work include Neurological disorders and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Virus-based gene therapy research (1 paper). Robert M. Bieganski is often cited by papers focused on Neurological disorders and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Virus-based gene therapy research (1 paper). Robert M. Bieganski collaborates with scholars based in United States. Robert M. Bieganski's co-authors include Kelly A. Conway, Peter T. Lansbury, Jean‐Christophe Rochet, Mehmet Toner, Alex Fowler, Stephen Cheley, Hagan Bayley, Michael J. Russo, Ali Eroğlu and Tomas T. Ding and has published in prestigious journals such as Science, Nature Biotechnology and Biophysical Journal.

In The Last Decade

Robert M. Bieganski

7 papers receiving 1.6k citations

Hit Papers

Kinetic Stabilization of the α-Synuclein Protofibril by a... 2001 2026 2009 2017 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert M. Bieganski United States 7 826 518 460 436 161 7 1.6k
Bhupinder Bhullar United States 11 705 0.9× 1.2k 2.3× 359 0.8× 373 0.9× 121 0.8× 12 2.0k
Sangeeta Nath India 23 275 0.3× 796 1.5× 232 0.5× 506 1.2× 162 1.0× 50 1.8k
Joseph W. Arndt United States 20 562 0.7× 993 1.9× 391 0.8× 335 0.8× 103 0.6× 28 1.9k
Dominic Winter Germany 23 377 0.5× 1.6k 3.2× 254 0.6× 344 0.8× 123 0.8× 69 2.5k
Kumi Kaneko Japan 23 629 0.8× 918 1.8× 379 0.8× 702 1.6× 170 1.1× 49 2.0k
Marçal Vilar Spain 24 1.2k 1.5× 1.2k 2.2× 783 1.7× 1.0k 2.4× 280 1.7× 46 3.0k
Irena Kadiu United States 18 424 0.5× 669 1.3× 298 0.6× 280 0.6× 530 3.3× 28 1.7k
Tōru Sasaki Japan 23 466 0.6× 855 1.7× 161 0.3× 114 0.3× 150 0.9× 119 2.2k
Wei Xiang Germany 29 1.0k 1.2× 1.2k 2.3× 553 1.2× 616 1.4× 666 4.1× 84 2.7k
Frederik Vilhardt Denmark 24 255 0.3× 1.3k 2.6× 338 0.7× 448 1.0× 412 2.6× 39 2.7k

Countries citing papers authored by Robert M. Bieganski

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Bieganski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Bieganski. 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 Robert M. Bieganski. The network helps show where Robert M. Bieganski may publish in the future.

Co-authorship network of co-authors of Robert M. Bieganski

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

All Works

7 of 7 papers shown
1.
Bieganski, Robert M. & Martin L. Yarmush. (2011). Novel ligands that target the mitochondrial membrane protein mitoNEET. Journal of Molecular Graphics and Modelling. 29(7). 965–973. 28 indexed citations
2.
Izamis, Maria‐Louisa, Nripen Sharma, Basak E. Uygun, et al.. (2010). In situ metabolic flux analysis to quantify the liver metabolic response to experimental burn injury. Biotechnology and Bioengineering. 108(4). 839–852. 24 indexed citations
3.
Rochet, Jean‐Christophe, Tiago F. Outeiro, Kelly A. Conway, et al.. (2004). Interactions Among α-Synuclein, Dopamine, and Biomembranes: Some Clues for Understanding Neurodegeneration in Parkinson's Disease. Journal of Molecular Neuroscience. 23(1-2). 23–34. 149 indexed citations
4.
Conway, Kelly A., Jean‐Christophe Rochet, Robert M. Bieganski, & Peter T. Lansbury. (2001). Kinetic Stabilization of the α-Synuclein Protofibril by a Dopamine-α-Synuclein Adduct. Science. 294(5545). 1346–1349. 921 indexed citations breakdown →
5.
Eroğlu, Ali, Michael J. Russo, Robert M. Bieganski, et al.. (2000). Intracellular trehalose improves the survival of cryopreserved mammalian cells. Nature Biotechnology. 18(2). 163–167. 415 indexed citations
6.
Bieganski, Robert M., Alex Fowler, Jeffrey R. Morgan, & Mehmet Toner. (1998). Stabilization of Active Recombinant Retroviruses in an Amorphous Dry State with Trehalose. Biotechnology Progress. 14(4). 615–620. 46 indexed citations
7.
Tosteson, Magdalena T., Osvaldo Álvarez, Wayne L. Hubbell, et al.. (1990). Primary structure of peptides and ion channels. Role of amino acid side chains in voltage gating of melittin channels. Biophysical Journal. 58(6). 1367–1375. 42 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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