Eric Jacobi

628 total citations
9 papers, 436 citations indexed

About

Eric Jacobi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Eric Jacobi has authored 9 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 3 papers in Cognitive Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Eric Jacobi's work include Neuroscience and Neuropharmacology Research (6 papers), Alzheimer's disease research and treatments (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Eric Jacobi is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Alzheimer's disease research and treatments (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Eric Jacobi collaborates with scholars based in Germany, United States and France. Eric Jacobi's co-authors include Jakob von Engelhardt, Trese Leinders‐Zufall, Frank Zufall, John N. Wood, Samuel J. Gossage, Bernd Bufe, Jan Weiss, Philippe Zizzari, Charles A. Greer and Vivienne Willnecker and has published in prestigious journals such as Nature, Neuron and The Journal of Physiology.

In The Last Decade

Eric Jacobi

8 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Jacobi Germany	8	273	229	127	124	69	9	436
Qiang Nai United States	15	407 1.5×	377 1.6×	160 1.3×	34 0.3×	65 0.9×	32	704
Rachel L. Poole United States	12	175 0.6×	302 1.3×	43 0.3×	57 0.5×	56 0.8×	16	505
T.D. Sotnikova Italy	6	282 1.0×	258 1.1×	64 0.5×	35 0.3×	25 0.4×	8	426
Yvonne Schwarz Germany	13	234 0.9×	291 1.3×	175 1.4×	68 0.5×	44 0.6×	19	518
Tomomitsu Iida Japan	10	84 0.3×	166 0.7×	111 0.9×	78 0.6×	11 0.2×	15	445
Tamara Perez‐Rosello United States	14	419 1.5×	309 1.3×	33 0.3×	78 0.6×	71 1.0×	21	658
Zhaohua Guo United States	13	145 0.5×	209 0.9×	129 1.0×	131 1.1×	18 0.3×	22	468
Leonardo Munari Italy	11	87 0.3×	148 0.6×	145 1.1×	47 0.4×	28 0.4×	23	445
Shaolin Liu United States	15	363 1.3×	126 0.6×	382 3.0×	26 0.2×	201 2.9×	24	638
Michael Postlethwaite United Kingdom	11	206 0.8×	148 0.6×	150 1.2×	35 0.3×	35 0.5×	16	396

Countries citing papers authored by Eric Jacobi

Since Specialization

Citations

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

Fields of papers citing papers by Eric Jacobi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Jacobi. 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 Eric Jacobi. The network helps show where Eric Jacobi may publish in the future.

Co-authorship network of co-authors of Eric Jacobi

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

All Works

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9 of 9 papers shown

Todorov, Hristo, et al.. (2024). Leveraging interindividual variability in threat conditioning of inbred mice to model trait anxiety. PLoS Biology. 22(5). e3002642–e3002642.

Jacobi, Eric, et al.. (2021). Amyloid Beta-Mediated Changes in Synaptic Function and Spine Number of Neocortical Neurons Depend on NMDA Receptors. International Journal of Molecular Sciences. 22(12). 6298–6298. 8 indexed citations

Jacobi, Eric & Jakob von Engelhardt. (2020). Modulation of information processing by AMPA receptor auxiliary subunits. The Journal of Physiology. 599(2). 471–483. 26 indexed citations

Müller, Michaela, Eric Jacobi, Kenji Sakimura, Roberto Malinow, & Jakob von Engelhardt. (2018). NMDA receptors mediate synaptic depression, but not spine loss in the dentate gyrus of adult amyloid Beta (Aβ) overexpressing mice. Acta Neuropathologica Communications. 6(1). 110–110. 31 indexed citations

Jacobi, Eric & Jakob von Engelhardt. (2018). AMPA receptor complex constituents: Control of receptor assembly, membrane trafficking and subcellular localization. Molecular and Cellular Neuroscience. 91. 67–75. 27 indexed citations

Jacobi, Eric & Jakob von Engelhardt. (2017). Diversity in AMPA receptor complexes in the brain. Current Opinion in Neurobiology. 45. 32–38. 35 indexed citations

Oboti, Livio, Anabel Pérez‐Gómez, Matthieu Keller, et al.. (2014). A wide range of pheromone-stimulated sexual and reproductive behaviors in female mice depend on G protein Gαo. BMC Biology. 12(1). 31–31. 47 indexed citations

Khodosevich, Konstantin, Eric Jacobi, Anton Schulmann, et al.. (2014). Coexpressed Auxiliary Subunits Exhibit Distinct Modulatory Profiles on AMPA Receptor Function. Neuron. 83(3). 601–615. 49 indexed citations

Weiss, Jan, Martina Pyrski, Eric Jacobi, et al.. (2011). Loss-of-function mutations in sodium channel Nav1.7 cause anosmia. Nature. 472(7342). 186–190. 213 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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