Jennifer D. McBride

20 total papers · 4.1k total citations
13 papers, 2.2k citations indexed

About

Jennifer D. McBride is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Jennifer D. McBride has authored 13 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Jennifer D. McBride's work include Alzheimer's disease research and treatments (11 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Jennifer D. McBride is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Jennifer D. McBride collaborates with scholars based in United States and China. Jennifer D. McBride's co-authors include John Q. Trojanowski, Virginia M.‐Y. Lee, Bin Zhang, Jing Guo, Michiyo Iba, Lakshmi Changolkar, Zhuohao He, Sneha Narasimhan, Anna Stieber and Ronald J. Gathagan and has published in prestigious journals such as Nature Medicine, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Jennifer D. McBride

13 papers receiving 2.1k citations

Hit Papers

Synthetic Tau Fibrils Med... 2013 2026 2017 2021 2013 2017 2021 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer D. McBride 1.6k 765 714 502 366 13 2.2k
Hala Kazi 1.6k 1.0× 919 1.2× 610 0.9× 726 1.4× 221 0.6× 11 3.1k
Wendy Sigurdson 1.9k 1.2× 722 0.9× 639 0.9× 451 0.9× 275 0.8× 16 2.7k
Ling Y. Munsell 1.7k 1.0× 721 0.9× 593 0.8× 442 0.9× 232 0.6× 8 2.5k
Jacob M. Basak 1.5k 0.9× 768 1.0× 566 0.8× 381 0.8× 198 0.5× 14 2.3k
Fabien Delerue 1.5k 0.9× 753 1.0× 422 0.6× 807 1.6× 252 0.7× 26 2.3k
Lucia Dumitrescu‐Ozimek 1.5k 0.9× 1000 1.3× 1.2k 1.7× 701 1.4× 297 0.8× 12 3.0k
Tritia R. Yamasaki 1.4k 0.8× 855 1.1× 720 1.0× 717 1.4× 334 0.9× 20 2.4k
Mansi Babbar 751 0.5× 1.0k 1.4× 457 0.6× 312 0.6× 289 0.8× 11 2.4k
Mathieu Herman 1.8k 1.1× 897 1.2× 563 0.8× 912 1.8× 322 0.9× 19 2.8k
Kalindi Bakshi 998 0.6× 777 1.0× 362 0.5× 589 1.2× 131 0.4× 12 2.1k

Countries citing papers authored by Jennifer D. McBride

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer D. McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer D. McBride

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

All Works

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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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