Susan T. Marshall

675 total citations · 1 hit paper
8 papers, 574 citations indexed

About

Susan T. Marshall is a scholar working on Molecular Biology, Neurology and Nutrition and Dietetics. According to data from OpenAlex, Susan T. Marshall has authored 8 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Nutrition and Dietetics. Recurrent topics in Susan T. Marshall's work include Neurological diseases and metabolism (4 papers), Prion Diseases and Protein Misfolding (4 papers) and Immune Cell Function and Interaction (3 papers). Susan T. Marshall is often cited by papers focused on Neurological diseases and metabolism (4 papers), Prion Diseases and Protein Misfolding (4 papers) and Immune Cell Function and Interaction (3 papers). Susan T. Marshall collaborates with scholars based in United States, Russia and Canada. Susan T. Marshall's co-authors include George A. Carlson, Stanley B. Prusiner, Patricia A. Goodman, David Westaway, David T. Kingsbury, Stephen J. DeArmond, Benjamin A. Taylor, Michael Lovett, Arnold H. Greenberg and Anne T. Truesdale and has published in prestigious journals such as Cell, Molecular and Cellular Biology and Transplantation.

In The Last Decade

Susan T. Marshall

8 papers receiving 560 citations

Hit Papers

Linkage of prion protein and scrapie incubation time genes 1986 2026 1999 2012 1986 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan T. Marshall United States 6 530 308 267 57 27 8 574
Michele Halimi Israel 12 611 1.2× 314 1.0× 254 1.0× 29 0.5× 26 1.0× 17 686
Val Thomson United Kingdom 7 567 1.1× 287 0.9× 201 0.8× 32 0.6× 18 0.7× 7 595
Franziska Kühn Germany 7 447 0.8× 172 0.6× 126 0.5× 16 0.3× 33 1.2× 11 530
F Escaig-Haye France 10 369 0.7× 185 0.6× 143 0.5× 15 0.3× 16 0.6× 15 440
Jeffrey M. Bockman United States 6 589 1.1× 317 1.0× 271 1.0× 22 0.4× 40 1.5× 7 600
Louisa Benboudjema France 6 208 0.4× 74 0.2× 60 0.2× 65 1.1× 9 0.3× 6 317
Mathias Heikenwaelder Germany 3 254 0.5× 125 0.4× 85 0.3× 11 0.2× 28 1.0× 5 330
Wilhelm Wemheuer Germany 10 246 0.5× 114 0.4× 100 0.4× 95 1.7× 8 0.3× 17 363
Alicia Otero Spain 12 244 0.5× 80 0.3× 52 0.2× 11 0.2× 8 0.3× 35 311
Yevgeniy Freyman United States 7 326 0.6× 135 0.4× 73 0.3× 5 0.1× 76 2.8× 12 400

Countries citing papers authored by Susan T. Marshall

Since Specialization
Citations

This map shows the geographic impact of Susan T. Marshall'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 Susan T. Marshall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan T. Marshall more than expected).

Fields of papers citing papers by Susan T. Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan T. Marshall. 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 Susan T. Marshall. The network helps show where Susan T. Marshall may publish in the future.

Co-authorship network of co-authors of Susan T. Marshall

This figure shows the co-authorship network connecting the top 25 collaborators of Susan T. Marshall. A scholar is included among the top collaborators of Susan T. Marshall 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 Susan T. Marshall. Susan T. Marshall 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.
Carlson, George A., et al.. (2007). Genetic Control of Prion Incubation Period in Mice. Novartis Foundation symposium. 135. 84–99. 3 indexed citations
2.
Carlson, George A., Patricia A. Goodman, Michael Lovett, et al.. (1988). Genetics and Polymorphism of the Mouse Prion Gene Complex: Control of Scrapie Incubation Time. Molecular and Cellular Biology. 8(12). 5528–5540. 58 indexed citations
3.
Carlson, George A., Patricia A. Goodman, Michael Lovett, et al.. (1988). Genetics and polymorphism of the mouse prion gene complex: control of scrapie incubation time.. Molecular and Cellular Biology. 8(12). 5528–5540. 143 indexed citations
4.
Latimer, Jean J., et al.. (1986). Linkage of cystic fibrosis locus and polymorphic DNA markers in 14 families.. PubMed. 39(6). 707–12. 5 indexed citations
5.
Carlson, George A., et al.. (1986). EARLY EVENTS IN NATURAL RESISTANCE TO BONE MARROW TRANSPLANTATION USE OF RADIOLABELED BONE MARROW CELLS. Transplantation. 41(6). 688–694. 4 indexed citations
6.
Carlson, George A., David T. Kingsbury, Patricia A. Goodman, et al.. (1986). Linkage of prion protein and scrapie incubation time genes. Cell. 46(4). 503–511. 335 indexed citations breakdown →
7.
Carlson, George A., Susan T. Marshall, & Anne T. Truesdale. (1984). Adaptive immune defects and delayed rejection of allogeneic tumor cells in beige mice. Cellular Immunology. 87(2). 348–356. 11 indexed citations
8.
Carlson, George A., Benjamin A. Taylor, Susan T. Marshall, & Arnold H. Greenberg. (1984). A genetic analysis of natural resistance to nonsyngeneic cells: The role of H-2. Immunogenetics. 20(3). 287–300. 15 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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