Shekib A. Jami

26 total papers · 1.0k total citations
16 papers, 638 citations indexed

About

Shekib A. Jami is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Shekib A. Jami has authored 16 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Shekib A. Jami's work include Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (5 papers) and Receptor Mechanisms and Signaling (2 papers). Shekib A. Jami is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (5 papers) and Receptor Mechanisms and Signaling (2 papers). Shekib A. Jami collaborates with scholars based in United States, United Kingdom and Switzerland. Shekib A. Jami's co-authors include Thomas J. O’Dell, J.A. Gray, John D. McCorvy, Hannah N. Saeger, Maxemiliano V. Vargas, Chunyang Dong, David E. Olson, Lindsay P. Cameron, Robert J. Tombari and Lin Tian and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

Shekib A. Jami

16 papers receiving 635 citations

Hit Papers

Psychedelics promote neur... 2023 2026 2024 2023 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Shekib A. Jami 383 196 185 151 117 16 638
Lynne M. Adams 414 1.1× 223 1.1× 162 0.9× 136 0.9× 47 0.4× 16 631
Dileep Kumar 377 1.0× 161 0.8× 94 0.5× 150 1.0× 36 0.3× 31 708
Rodolfo Silveira 480 1.3× 212 1.1× 48 0.3× 177 1.2× 29 0.2× 26 779
Andrea Rotter 116 0.3× 124 0.6× 70 0.4× 170 1.1× 67 0.6× 21 661
Hans‐Willi Clement 201 0.5× 62 0.3× 93 0.5× 165 1.1× 36 0.3× 30 666
Rómeó D. Andó 305 0.8× 45 0.2× 109 0.6× 146 1.0× 41 0.4× 28 729
Katherine M. Nautiyal 296 0.8× 99 0.5× 109 0.6× 231 1.5× 20 0.2× 25 769
S.M. Sorensen 486 1.3× 113 0.6× 51 0.3× 259 1.7× 99 0.8× 15 675
Daniel Shaver 256 0.7× 104 0.5× 75 0.4× 93 0.6× 40 0.3× 9 660
Katherine Lopez 273 0.7× 173 0.9× 96 0.5× 81 0.5× 39 0.3× 11 627

Countries citing papers authored by Shekib A. Jami

Since Specialization
Citations

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

Fields of papers citing papers by Shekib A. Jami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shekib A. Jami. 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 Shekib A. Jami. The network helps show where Shekib A. Jami may publish in the future.

Co-authorship network of co-authors of Shekib A. Jami

This figure shows the co-authorship network connecting the top 25 collaborators of Shekib A. Jami. A scholar is included among the top collaborators of Shekib A. Jami 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 Shekib A. Jami. Shekib A. Jami 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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