Jennifer D. Petersen

56 total papers · 2.6k total citations
31 papers, 1.9k citations indexed

About

Jennifer D. Petersen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Jennifer D. Petersen has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 6 papers in Cell Biology. Recurrent topics in Jennifer D. Petersen's work include Neuroscience and Neuropharmacology Research (12 papers), Extracellular vesicles in disease (6 papers) and Photoreceptor and optogenetics research (5 papers). Jennifer D. Petersen is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Extracellular vesicles in disease (6 papers) and Photoreceptor and optogenetics research (5 papers). Jennifer D. Petersen collaborates with scholars based in United States, France and Brazil. Jennifer D. Petersen's co-authors include Daniel Choquet, Eric Hosy, Thomas S. Reese, Grégory Giannone, Deepak Nair, Jean‐Baptiste Sibarita, Ayṣe Döṣemeci, Lúcia Vinadé, Xiaobing Chen and Morgan Sheng and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jennifer D. Petersen

29 papers receiving 1.9k citations

Hit Papers

Super-Resolution Imaging ... 2013 2026 2017 2021 2013 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. Petersen 1.0k 1.0k 387 209 195 31 1.9k
Matthieu Sainlos 888 0.9× 1.6k 1.6× 304 0.8× 170 0.8× 236 1.2× 43 2.4k
Don B. Arnold 789 0.8× 919 0.9× 518 1.3× 149 0.7× 162 0.8× 35 1.7k
Christian G. Specht 1.3k 1.2× 1.7k 1.7× 550 1.4× 206 1.0× 444 2.3× 45 3.0k
Bohumil Maco 472 0.5× 1.2k 1.1× 207 0.5× 161 0.8× 169 0.9× 58 2.6k
Harold D. MacGillavry 1.3k 1.3× 1.4k 1.4× 361 0.9× 255 1.2× 309 1.6× 40 2.5k
Lydia Danglot 600 0.6× 1.2k 1.2× 623 1.6× 89 0.4× 258 1.3× 52 2.3k
Jochen C. Meier 1.4k 1.3× 1.7k 1.7× 304 0.8× 243 1.2× 81 0.4× 69 2.8k
Jia‐Jia Liu 348 0.3× 652 0.6× 573 1.5× 150 0.7× 204 1.0× 36 1.5k
Manfred Heckmann 1.9k 1.9× 1.5k 1.5× 914 2.4× 172 0.8× 287 1.5× 65 2.9k
MH Ellisman 496 0.5× 832 0.8× 247 0.6× 118 0.6× 72 0.4× 26 1.5k

Countries citing papers authored by Jennifer D. Petersen

Since Specialization
Citations

This map shows the geographic impact of Jennifer D. Petersen'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. Petersen 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. Petersen more than expected).

Fields of papers citing papers by Jennifer D. Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer D. Petersen. A scholar is included among the top collaborators of Jennifer D. Petersen 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. Petersen. Jennifer D. Petersen 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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