Gregory M. Rosenberg

412 total citations
8 papers, 169 citations indexed

About

Gregory M. Rosenberg is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Gregory M. Rosenberg has authored 8 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Neurology. Recurrent topics in Gregory M. Rosenberg's work include Alzheimer's disease research and treatments (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and Protein Structure and Dynamics (2 papers). Gregory M. Rosenberg is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and Protein Structure and Dynamics (2 papers). Gregory M. Rosenberg collaborates with scholars based in United States, Israel and Finland. Gregory M. Rosenberg's co-authors include David Eisenberg, Kevin A. Murray, Paul M. Seidler, Romany Abskharon, M.R. Sawaya, Hope Pan, Harry V. Vinters, Christopher Kazu Williams, Xinyi Cheng and Sarah L. Griner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Gregory M. Rosenberg

7 papers receiving 168 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory M. Rosenberg United States 6 109 98 27 23 22 8 169
Alexander J. Sercel United States 7 193 1.8× 119 1.2× 14 0.5× 23 1.0× 21 1.0× 8 255
Iuliia A. Antifeeva Russia 8 198 1.8× 95 1.0× 25 0.9× 36 1.6× 8 0.4× 17 305
Greta Musteikytė Lithuania 6 82 0.8× 92 0.9× 58 2.1× 18 0.8× 9 0.4× 7 167
Pascal Krotee United States 5 187 1.7× 156 1.6× 21 0.8× 40 1.7× 24 1.1× 5 265
Zizheng Li United States 7 128 1.2× 77 0.8× 21 0.8× 10 0.4× 10 0.5× 14 202
Binh A. Nguyen United States 7 180 1.7× 124 1.3× 28 1.0× 24 1.0× 7 0.3× 12 246
Shenqing Zhang China 9 142 1.3× 61 0.6× 46 1.7× 11 0.5× 8 0.4× 15 229
Malin Lindhagen‐Persson Sweden 6 127 1.2× 179 1.8× 21 0.8× 12 0.5× 30 1.4× 6 231
Bryan D. Ryder United States 8 189 1.7× 137 1.4× 13 0.5× 32 1.4× 20 0.9× 10 255
Cristina Visentin Italy 10 171 1.6× 56 0.6× 12 0.4× 21 0.9× 12 0.5× 20 245

Countries citing papers authored by Gregory M. Rosenberg

Since Specialization
Citations

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

Fields of papers citing papers by Gregory M. Rosenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory M. Rosenberg

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

All Works

8 of 8 papers shown
1.
Rosenberg, Gregory M., Kevin A. Murray, M.R. Sawaya, et al.. (2025). Genetic and structural aspects of amyloid diseases. Science Translational Medicine. 17(818). eadp3378–eadp3378.
2.
Garske, Kristina M., Asha Kar, Brunilda Balliu, et al.. (2023). Increased body mass index is linked to systemic inflammation through altered chromatin co-accessibility in human preadipocytes. Nature Communications. 14(1). 4214–4214. 11 indexed citations
3.
Rosenberg, Gregory M., Romany Abskharon, David R. Boyer, et al.. (2023). Fibril structures of TFG protein mutants validate the identification of TFG as a disease-related amyloid protein by the IMPAcT method. PNAS Nexus. 2(12). pgad402–pgad402. 2 indexed citations
4.
Murray, Kevin A., Hope Pan, Jiahui Lu, et al.. (2023). Small molecules disaggregate alpha-synuclein and prevent seeding from patient brain-derived fibrils. Proceedings of the National Academy of Sciences. 120(7). e2217835120–e2217835120. 23 indexed citations
5.
Rosenberg, Gregory M., Kevin A. Murray, Łukasz Salwiński, et al.. (2022). Bioinformatic identification of previously unrecognized amyloidogenic proteins. Journal of Biological Chemistry. 298(5). 101920–101920. 8 indexed citations
6.
Murray, Kevin A., Sarah L. Griner, Hope Pan, et al.. (2022). De novo designed protein inhibitors of amyloid aggregation and seeding. Proceedings of the National Academy of Sciences. 119(34). e2206240119–e2206240119. 51 indexed citations
7.
Seidler, Paul M., David R. Boyer, Kevin A. Murray, et al.. (2019). Structure-based inhibitors halt prion-like seeding by Alzheimer’s disease–and tauopathy–derived brain tissue samples. Journal of Biological Chemistry. 294(44). 16451–16464. 47 indexed citations
8.
Brumshtein, Boris, Shannon R. Esswein, M.R. Sawaya, et al.. (2018). Identification of two principal amyloid-driving segments in variable domains of Ig light chains in systemic light-chain amyloidosis. Journal of Biological Chemistry. 293(51). 19659–19671. 27 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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