Markus Geißen

634 total citations
10 papers, 528 citations indexed

About

Markus Geißen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Markus Geißen has authored 10 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Psychiatry and Mental health. Recurrent topics in Markus Geißen's work include Neuropeptides and Animal Physiology (4 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers) and Neuroendocrine regulation and behavior (2 papers). Markus Geißen is often cited by papers focused on Neuropeptides and Animal Physiology (4 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers) and Neuroendocrine regulation and behavior (2 papers). Markus Geißen collaborates with scholars based in Germany, United States and France. Markus Geißen's co-authors include Hermann Rohrer, Uwe Ernsberger, Matthias Stanke, Dirk Junghans, Christo Goridis, Stefan Heller, Thomas Deller, Rosanna Parlato, Günther Schütz and Hugues Gascan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Development and Developmental Biology.

In The Last Decade

Markus Geißen

10 papers receiving 526 citations

Peers

Markus Geißen

CMN

GENET

ONCOL

Matthias Stanke Germany

Jason Myers United States

Hironori Takamura Japan

Jutta Stubbusch Germany

Fabienne Alfonsi France

Jason J. Siu United States

Rui P. Galvão United States

Mahendra S. Rao United States

Aryaman Shalizi United States

Joon-Hyuk Lee South Korea

Matthias Stanke Germany

Markus Geißen

407 ×1.1

215 ×1.1

CMN

86 ×1.1

129 ×1.8

GENET

36 ×0.7

ONCOL

Citations per year, relative to Markus Geißen Markus Geißen (= 1×) peers Matthias Stanke

Countries citing papers authored by Markus Geißen

Since Specialization

Citations

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

Fields of papers citing papers by Markus Geißen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Geißen

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

All Works

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10 of 10 papers shown

Doxakis, Epaminondas, et al.. (2008). A function for the calponin family member NP25 in neurite outgrowth. Developmental Biology. 321(2). 434–443. 20 indexed citations

Politis, Panagiotis, Georgia Makri, Dimitra Thomaidou, et al.. (2007). BM88/CEND1 coordinates cell cycle exit and differentiation of neuronal precursors. Proceedings of the National Academy of Sciences. 104(45). 17861–17866. 54 indexed citations

Stanke, Matthias, Markus Geißen, Guido J. Burbach, et al.. (2005). Target-dependent specification of the neurotransmitter phenotype:cholinergic differentiation of sympathetic neurons is mediated in vivo by gp130 signaling. Development. 133(1). 141–150. 95 indexed citations

Geißen, Markus, et al.. (2002). The developmental expression of vasoactive intestinal peptide (VIP) in cholinergic sympathetic neurons depends on cytokines signaling through LIFRβ-containing receptors. Development. 129(6). 1387–1396. 23 indexed citations

Stanke, Matthias, Markus Geißen, Rudolf Götz, Uwe Ernsberger, & Hermann Rohrer. (2000). The early expression of VAChT and VIP in mouse sympathetic ganglia is not induced by cytokines acting through LIFRβ or CNTFRα. Mechanisms of Development. 91(1-2). 91–96. 21 indexed citations

Stanke, Matthias, Dirk Junghans, Markus Geißen, et al.. (1999). The Phox2 homeodomain proteins are sufficient to promote the development of sympathetic neurons. Development. 126(18). 4087–4094. 136 indexed citations

Geißen, Markus, Stefan Heller, Diane Pennica, Uwe Ernsberger, & Hermann Rohrer. (1998). The specification of sympathetic neurotransmitter phenotype depends on gp130 cytokine receptor signaling. Development. 125(23). 4791–4801. 34 indexed citations

Holst, Alexander von, Stefan Heller, Dirk Junghans, et al.. (1997). Onset of CNTFRα Expression and Signal Transduction during Neurogenesis in Chick Sensory Dorsal Root Ganglia. Developmental Biology. 191(1). 1–13. 23 indexed citations

Wismar, Jasmine, Thomas Löffler, Negusse Habtemichael, et al.. (1995). The Drosophila melanogaster tumor suppressor gene lethal(3)malignant brain tumor encodes a proline-rich protein with a novel zinc finger. Mechanisms of Development. 53(1). 141–154. 84 indexed citations

10.

Heller, Stefan, Johann Huber, Rae Nishi, et al.. (1995). Analysis of function and expression of the chick GPA receptor (GPAR α) suggests multiple roles in neuronal development. Development. 121(8). 2681–2693. 38 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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