Jennifer E. Stauffer

1.5k total citations
7 papers, 537 citations indexed

About

Jennifer E. Stauffer is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Jennifer E. Stauffer has authored 7 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Jennifer E. Stauffer's work include Amyotrophic Lateral Sclerosis Research (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Neurological diseases and metabolism (2 papers). Jennifer E. Stauffer is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Neurological diseases and metabolism (2 papers). Jennifer E. Stauffer collaborates with scholars based in United States, Germany and Singapore. Jennifer E. Stauffer's co-authors include John Ravits, Shahram Saberi, Don W. Cleveland, María José Gómez-Rodríguez, Michael W. Baughn, Jie Jiang, Takuya Ohkubo, Amy E. Taylor, Jeffery M. Vance and Friðbert Jónasson and has published in prestigious journals such as Neurology, Genetics and Acta Neuropathologica.

In The Last Decade

Jennifer E. Stauffer

7 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer E. Stauffer United States	6	382	230	218	83	73	7	537
Silvia Grifoni Italy	11	275 0.7×	180 0.8×	155 0.7×	92 1.1×	76 1.0×	14	453
Giulia Romano Italy	13	431 1.1×	329 1.4×	319 1.5×	62 0.7×	46 0.6×	20	662
Sandra Pereson Belgium	5	545 1.4×	236 1.0×	267 1.2×	171 2.1×	118 1.6×	6	662
Christine Bareil Canada	8	464 1.2×	412 1.8×	241 1.1×	106 1.3×	128 1.8×	8	750
Laurie Destroismaisons Canada	8	431 1.1×	525 2.3×	252 1.2×	129 1.6×	110 1.5×	10	857
Yasushi Nishihira Japan	9	394 1.0×	165 0.7×	152 0.7×	135 1.6×	117 1.6×	13	537
Corinna Hendrich Germany	8	525 1.4×	157 0.7×	225 1.0×	206 2.5×	117 1.6×	10	665
Peter I. Joyce United Kingdom	5	230 0.6×	130 0.6×	152 0.7×	37 0.4×	48 0.7×	7	347
David M. Kwinter United States	6	342 0.9×	309 1.3×	159 0.7×	91 1.1×	56 0.8×	8	615
Shahram Saberi United States	5	384 1.0×	261 1.1×	248 1.1×	82 1.0×	75 1.0×	7	560

Countries citing papers authored by Jennifer E. Stauffer

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer E. Stauffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer E. Stauffer. 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 Jennifer E. Stauffer. The network helps show where Jennifer E. Stauffer may publish in the future.

Co-authorship network of co-authors of Jennifer E. Stauffer

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

All Works

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7 of 7 papers shown

1.

Krach, Florian, Ranjan Batra, Emily C. Wheeler, et al.. (2018). Transcriptome–pathology correlation identifies interplay between TDP-43 and the expression of its kinase CK1E in sporadic ALS. Acta Neuropathologica. 136(3). 405–423. 60 indexed citations

2.

Saberi, Shahram, Jennifer E. Stauffer, Jie Jiang, et al.. (2018). Sense-encoded poly-GR dipeptide repeat proteins correlate to neurodegeneration and uniquely co-localize with TDP-43 in dendrites of repeat expanded C9orf72 amyotrophic lateral sclerosis (P3.031). Neurology. 90(15_supplement). 1 indexed citations

3.

Saberi, Shahram, Jennifer E. Stauffer, Jie Jiang, et al.. (2017). Sense-encoded poly-GR dipeptide repeat proteins correlate to neurodegeneration and uniquely co-localize with TDP-43 in dendrites of repeat-expanded C9orf72 amyotrophic lateral sclerosis. Acta Neuropathologica. 135(3). 459–474. 135 indexed citations

4.

Cruz, Sandrine Da, Anh Thu Bui, Shahram Saberi, et al.. (2017). Misfolded SOD1 is not a primary component of sporadic ALS. Acta Neuropathologica. 134(1). 97–111. 77 indexed citations

5.

Saberi, Shahram, et al.. (2015). Neuropathology of Amyotrophic Lateral Sclerosis and Its Variants. Neurologic Clinics. 33(4). 855–876. 188 indexed citations

6.

Bateman, Jack R, et al.. (2012). Captured Segment Exchange: A Strategy for Custom Engineering Large Genomic Regions inDrosophila melanogaster. Genetics. 193(2). 421–430. 7 indexed citations

7.

Vance, Jeffery M., Friðbert Jónasson, Felicia Lennon, et al.. (1996). Linkage of a gene for macular corneal dystrophy to chromosome 16.. PubMed. 58(4). 757–62. 69 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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