Alexander Fleischmann

2.7k total citations
34 papers, 1.8k citations indexed

About

Alexander Fleischmann is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Alexander Fleischmann has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Sensory Systems, 19 papers in Cellular and Molecular Neuroscience and 12 papers in Nutrition and Dietetics. Recurrent topics in Alexander Fleischmann's work include Olfactory and Sensory Function Studies (19 papers), Neurobiology and Insect Physiology Research (15 papers) and Biochemical Analysis and Sensing Techniques (12 papers). Alexander Fleischmann is often cited by papers focused on Olfactory and Sensory Function Studies (19 papers), Neurobiology and Insect Physiology Research (15 papers) and Biochemical Analysis and Sensing Techniques (12 papers). Alexander Fleischmann collaborates with scholars based in United States, France and Austria. Alexander Fleischmann's co-authors include Erwin F. Wagner, Farhad Hafezi, Charlotte E. Remé, Ulrich Rüther, Candace E. Elliott, Richard Axel, Gloria B. Choi, Regine Bendl, Maria Sibilia and Joseph Schlessinger and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Alexander Fleischmann

31 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Fleischmann United States	19	722	556	552	309	281	34	1.8k
Wael M. ElShamy United States	21	632 0.9×	240 0.4×	781 1.4×	117 0.4×	64 0.2×	41	1.7k
Kerren Murray France	18	685 0.9×	224 0.4×	1.1k 1.9×	54 0.2×	103 0.4×	23	2.3k
Jason E. Long United States	17	985 1.4×	115 0.2×	1.1k 2.1×	119 0.4×	201 0.7×	17	2.3k
Adriana Nemes United States	10	2.1k 2.9×	2.2k 3.9×	1.2k 2.1×	1.6k 5.1×	87 0.3×	11	3.8k
Florian T. Merkle United States	26	1.6k 2.2×	254 0.5×	3.3k 6.0×	118 0.4×	247 0.9×	41	5.9k
Jeffrey R. Mann United States	33	661 0.9×	318 0.6×	3.6k 6.5×	190 0.6×	234 0.8×	66	4.5k
Ruud Ubink Netherlands	18	684 0.9×	97 0.2×	526 1.0×	77 0.2×	78 0.3×	40	1.5k
Claudio Giachino Switzerland	25	745 1.0×	164 0.3×	1.6k 2.8×	47 0.2×	104 0.4×	31	2.9k
Jennie Close United States	15	328 0.5×	126 0.2×	1.2k 2.1×	85 0.3×	74 0.3×	18	1.6k
Susan A. Cook United States	19	332 0.5×	339 0.6×	1.2k 2.1×	73 0.2×	151 0.5×	32	1.8k

Countries citing papers authored by Alexander Fleischmann

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Fleischmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Fleischmann

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

All Works

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20 of 20 papers shown

Demetçi, Pınar, David H. Brann, Noga Zilkha, et al.. (2025). Single-cell genomics of the mouse olfactory cortex reveals contrasts with neocortex and ancestral signatures of cell type evolution. Nature Neuroscience. 28(5). 937–948.

Moroni, Monica, et al.. (2024). Aberration correction in long GRIN lens-based microendoscopes for extended field-of-view two-photon imaging in deep brain regions. eLife. 13. 1 indexed citations

Ritt, Jason T., et al.. (2024). Odors in space. Frontiers in Neural Circuits. 18. 1414452–1414452. 1 indexed citations

Pierre, A.F., et al.. (2024). A Perspective on Neuroscience Data Standardization with Neurodata Without Borders. Journal of Neuroscience. 44(38). e0381242024–e0381242024. 1 indexed citations

Bashkirova, Elizaveta, Kevin D. Monahan, Christine Campbell, et al.. (2023). Opposing, spatially-determined epigenetic forces impose restrictions on stochastic olfactory receptor choice. eLife. 12. 12 indexed citations

Levin, Zachary, Owen P. Leary, Víctor Manuel Mora Cuesta, et al.. (2023). Cerebrospinal fluid transcripts may predict shunt surgery responses in normal pressure hydrocephalus. Brain. 146(9). 3747–3759. 6 indexed citations

Srinivasan, Shyam, et al.. (2023). Effects of stochastic coding on olfactory discrimination in flies and mice. PLoS Biology. 21(10). e3002206–e3002206. 6 indexed citations

Dembitskaya, Yulia, et al.. (2019). Encoding of Odor Fear Memories in the Mouse Olfactory Cortex. Current Biology. 29(3). 367–380.e4. 54 indexed citations

Abdus-Saboor, Ishmail, et al.. (2016). An Expression Refinement Process Ensures Singular Odorant Receptor Gene Choice. Current Biology. 26(8). 1083–1090. 18 indexed citations

10.

Yim, Yeong Shin, Nicolas Dérian, Juliette Pouch, et al.. (2016). Molecular signatures of neural connectivity in the olfactory cortex. Nature Communications. 7(1). 12238–12238. 71 indexed citations

11.

Abdus-Saboor, Ishmail, Alexander Fleischmann, & Benjamin Shykind. (2014). Setting Limits. Transcription. 5(3). e28978–e28978. 3 indexed citations

12.

Fleischmann, Alexander, et al.. (2013). Functional Interrogation of an Odorant Receptor Locus Reveals Multiple Axes of Transcriptional Regulation. PLoS Biology. 11(5). e1001568–e1001568. 21 indexed citations

13.

Samuels, Benjamin A., Jérémie Teillon, Dan Mei, et al.. (2012). Olfactory Deficits Cause Anxiety-Like Behaviors in Mice. Journal of Neuroscience. 32(19). 6718–6725. 47 indexed citations

14.

Choi, Gloria B., et al.. (2011). Driving Opposing Behaviors with Ensembles of Piriform Neurons. Cell. 146(6). 1004–1015. 174 indexed citations

15.

Fleischmann, Alexander, Benjamin Shykind, Dara L. Sosulski, et al.. (2008). Mice with a “Monoclonal Nose”: Perturbations in an Olfactory Map Impair Odor Discrimination. Neuron. 60(6). 1068–1081. 95 indexed citations

16.

Gass, Peter, Alexander Fleischmann, Øivind Hvalby, et al.. (2004). Mice with a fra-1 knock-in into the c-fos locus show impaired spatial but regular contextual learning and normal LTP. Molecular Brain Research. 130(1-2). 16–22. 26 indexed citations

17.

Fleischmann, Alexander, et al.. (2003). Rhabdomyosarcoma development in mice lacking Trp53 and Fos. Cancer Cell. 4(6). 477–482. 56 indexed citations

18.

Wenzel, Andreas, Hans Peter Iseli, Alexander Fleischmann, et al.. (2002). Fra‐1 substitutes for c‐Fos in AP‐1‐mediated signal transduction in retinal apoptosis. Journal of Neurochemistry. 80(6). 1089–1094. 27 indexed citations

19.

Fleischmann, Alexander, Farhad Hafezi, Candace E. Elliott, et al.. (2000). Fra-1 replaces c-Fos-dependent functions in mice. Genes & Development. 14(21). 2695–2700. 235 indexed citations

20.

Sibilia, Maria, Alexander Fleischmann, Axel Behrens, et al.. (2000). The EGF Receptor Provides an Essential Survival Signal for SOS-Dependent Skin Tumor Development. Cell. 102(2). 211–220. 249 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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