Stephen M. Altmann

1.8k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Stephen M. Altmann is a scholar working on Cellular and Molecular Neuroscience, Neurology and Immunology. According to data from OpenAlex, Stephen M. Altmann has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Neurology and 3 papers in Immunology. Recurrent topics in Stephen M. Altmann's work include Genetic Neurodegenerative Diseases (4 papers), interferon and immune responses (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Stephen M. Altmann is often cited by papers focused on Genetic Neurodegenerative Diseases (4 papers), interferon and immune responses (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Stephen M. Altmann collaborates with scholars based in United States and Russia. Stephen M. Altmann's co-authors include Aleksey Kazantsev, Michele M. Maxwell, Anne B. Young, Pamela J. McLean, Tiago F. Outeiro, Bradley T. Hyman, Mark T. Mellon, Carol H. Kim, Daniel L. Distel and Allison Amore and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Virology.

In The Last Decade

Stephen M. Altmann

7 papers receiving 1.4k citations

Hit Papers

Sirtuin 2 Inhibitors Rescue α-Synuclein-Mediated Toxicity... 2007 2026 2013 2019 2007 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
Stephen M. Altmann United States 6 526 463 346 306 283 7 1.4k
Nobumasa Hara Japan 21 573 1.1× 296 0.6× 214 0.6× 243 0.8× 131 0.5× 57 1.3k
Bindi Patel United States 18 1.1k 2.0× 89 0.2× 216 0.6× 236 0.8× 1.1k 4.0× 25 2.1k
Po‐wai Yuen United States 15 940 1.8× 65 0.1× 81 0.2× 295 1.0× 96 0.3× 24 1.3k
Kostoula Troulinaki Greece 9 756 1.4× 72 0.2× 77 0.2× 48 0.2× 757 2.7× 10 1.4k
Roberta Tufi United Kingdom 15 592 1.1× 22 0.0× 298 0.9× 124 0.4× 365 1.3× 17 1.2k
Kristan K. Steffen United States 11 2.2k 4.2× 318 0.7× 82 0.2× 121 0.4× 294 1.0× 12 3.0k
Brett A. McCray United States 13 889 1.7× 35 0.1× 49 0.1× 348 1.1× 571 2.0× 23 1.5k
Claudia Dall’Armi United States 14 808 1.5× 33 0.1× 96 0.3× 118 0.4× 562 2.0× 15 1.6k
Heleen te Brinke Netherlands 19 1.1k 2.2× 138 0.3× 40 0.1× 89 0.3× 158 0.6× 25 1.6k
Jeanne M.M. Tan Singapore 14 950 1.8× 29 0.1× 79 0.2× 352 1.2× 594 2.1× 17 1.6k

Countries citing papers authored by Stephen M. Altmann

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Altmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen M. Altmann

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Altmann. A scholar is included among the top collaborators of Stephen M. Altmann 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 Stephen M. Altmann. Stephen M. Altmann 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.
Outeiro, Tiago F., Stephen M. Altmann, Irina Kufareva, et al.. (2007). Sirtuin 2 Inhibitors Rescue α-Synuclein-Mediated Toxicity in Models of Parkinson's Disease. Science. 317(5837). 516–519. 853 indexed citations breakdown →
2.
Maxwell, Michele M., Allison Amore, Stephen M. Altmann, et al.. (2007). Discovery of a Novel Small-Molecule Targeting Selective Clearance of Mutant Huntingtin Fragments. SLAS DISCOVERY. 12(3). 351–360. 25 indexed citations
3.
Outeiro, Tiago F., Stephen M. Altmann, Michele M. Maxwell, et al.. (2006). Pharmacological promotion of inclusion formation: A therapeutic approach for Huntington’s and Parkinson’s diseases. Proceedings of the National Academy of Sciences. 103(11). 4246–4251. 203 indexed citations
4.
Altmann, Stephen M., Elisa Fossale, Michele M. Maxwell, et al.. (2006). Discovery of Bioactive Small-Molecule Inhibitor of Poly ADP-Ribose Polymerase: Implications for Energy-Deficient Cells. Chemistry & Biology. 13(7). 765–770. 8 indexed citations
5.
Altmann, Stephen M., Mark T. Mellon, Marc C. Johnson, et al.. (2003). Cloning and characterization of an Mx gene and its corresponding promoter from the zebrafish, Danio rerio. Developmental & Comparative Immunology. 28(4). 295–306. 87 indexed citations
6.
Altmann, Stephen M., Mark T. Mellon, Daniel L. Distel, & Carol H. Kim. (2003). Molecular and Functional Analysis of an Interferon Gene from the Zebrafish, Danio rerio. Journal of Virology. 77(6). 3890–3890. 2 indexed citations
7.
Altmann, Stephen M., Mark T. Mellon, Daniel L. Distel, & Carol H. Kim. (2003). Molecular and Functional Analysis of an Interferon Gene from the Zebrafish, Danio rerio. Journal of Virology. 77(3). 1992–2002. 250 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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