Tamara Papadakis

1.1k total citations
17 papers, 858 citations indexed

About

Tamara Papadakis is a scholar working on Molecular Biology, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Tamara Papadakis has authored 17 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Sensory Systems and 6 papers in Nutrition and Dietetics. Recurrent topics in Tamara Papadakis's work include Biochemical Analysis and Sensing Techniques (6 papers), Olfactory and Sensory Function Studies (6 papers) and Neuroscience of respiration and sleep (3 papers). Tamara Papadakis is often cited by papers focused on Biochemical Analysis and Sensing Techniques (6 papers), Olfactory and Sensory Function Studies (6 papers) and Neuroscience of respiration and sleep (3 papers). Tamara Papadakis collaborates with scholars based in Germany, United States and Austria. Tamara Papadakis's co-authors include Wolfgang Kummer, Gabriela Krasteva‐Christ, Brendan J. Canning, Burkhard Schütz, M. Wolff, Eberhard Weihe, Christian Mühlfeld, Rainer Haberberger, Jürgen Wess and Petra Hartmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Applied Physiology.

In The Last Decade

Tamara Papadakis

17 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamara Papadakis Germany 13 347 307 231 141 126 17 858
Masakazu Tazaki Japan 19 79 0.2× 252 0.8× 473 2.0× 284 2.0× 35 0.3× 60 972
Oda M Japan 14 77 0.2× 118 0.4× 189 0.8× 36 0.3× 74 0.6× 31 613
Kenzo Tsuzuki Japan 17 76 0.2× 312 1.0× 125 0.5× 261 1.9× 84 0.7× 66 957
Makoto Sugita Japan 17 139 0.4× 136 0.4× 470 2.0× 109 0.8× 130 1.0× 92 1.2k
Masae Furukawa Japan 18 76 0.2× 219 0.7× 318 1.4× 251 1.8× 11 0.1× 46 1.1k
Masaki Sato Japan 16 51 0.1× 198 0.6× 392 1.7× 229 1.6× 18 0.1× 46 749
Masayasu Miyajima Japan 18 43 0.1× 240 0.8× 318 1.4× 70 0.5× 9 0.1× 50 864
Akira Inokuchi Japan 15 170 0.5× 158 0.5× 123 0.5× 119 0.8× 72 0.6× 64 838
Ichiro Takayama Japan 16 56 0.2× 56 0.2× 282 1.2× 235 1.7× 38 0.3× 29 875
Rachel M. Gwynne Australia 14 81 0.2× 47 0.2× 146 0.6× 132 0.9× 16 0.1× 23 671

Countries citing papers authored by Tamara Papadakis

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Papadakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Papadakis

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

All Works

17 of 17 papers shown
1.
Perniss, Alexander, Brett Boonen, Sarah Tonack, et al.. (2023). A succinate/SUCNR1-brush cell defense program in the tracheal epithelium. Science Advances. 9(31). eadg8842–eadg8842. 22 indexed citations
2.
Perniss, Alexander, P Schmidt, Tamara Papadakis, et al.. (2021). Development of epithelial cholinergic chemosensory cells of the urethra and trachea of mice. Cell and Tissue Research. 385(1). 21–35. 10 indexed citations
3.
Perniss, Alexander, Tamara Papadakis, Claudia Dames, et al.. (2020). Acute nicotine administration stimulates ciliary activity via α3β4 nAChR in the mouse trachea. International Immunopharmacology. 84. 106496–106496. 10 indexed citations
4.
5.
Krasteva‐Christ, Gabriela, Burkhard Schütz, Tamara Papadakis, et al.. (2015). Identification of cholinergic chemosensory cells in mouse tracheal and laryngeal glandular ducts. International Immunopharmacology. 29(1). 158–165. 16 indexed citations
6.
Papadakis, Tamara, et al.. (2015). A novel cholinergic epithelial cell with chemosensory traits in the murine conjunctiva. International Immunopharmacology. 29(1). 45–50. 12 indexed citations
7.
Deckmann, Klaus, Katharina Filipski, Gabriela Krasteva‐Christ, et al.. (2014). Bitter triggers acetylcholine release from polymodal urethral chemosensory cells and bladder reflexes. Proceedings of the National Academy of Sciences. 111(22). 8287–8292. 130 indexed citations
8.
Krasteva‐Christ, Gabriela, Brendan J. Canning, Tamara Papadakis, & Wolfgang Kummer. (2012). Cholinergic brush cells in the trachea mediate respiratory responses to quorum sensing molecules. Life Sciences. 91(21-22). 992–996. 67 indexed citations
9.
Krasteva‐Christ, Gabriela, Petra Hartmann, Tamara Papadakis, et al.. (2012). Cholinergic chemosensory cells in the auditory tube. Histochemistry and Cell Biology. 137(4). 483–497. 46 indexed citations
10.
Krasteva‐Christ, Gabriela, Brendan J. Canning, Petra Hartmann, et al.. (2011). Cholinergic chemosensory cells in the trachea regulate breathing. Proceedings of the National Academy of Sciences. 108(23). 9478–9483. 226 indexed citations
11.
Mühlfeld, Christian, Suman K. Das, Frank R. Heinzel, et al.. (2011). Cancer Induces Cardiomyocyte Remodeling and Hypoinnervation in the Left Ventricle of the Mouse Heart. PLoS ONE. 6(5). e20424–e20424. 47 indexed citations
12.
Nandigama, Rajender, et al.. (2010). Muscarinic acetylcholine receptor subtypes expressed by mouse bladder afferent neurons. Neuroscience. 168(3). 842–850. 40 indexed citations
13.
Mühlfeld, Christian, Tamara Papadakis, Gabriela Krasteva‐Christ, et al.. (2010). An unbiased stereological method for efficiently quantifying the innervation of the heart and other organs based on total length estimations. Journal of Applied Physiology. 108(5). 1402–1409. 24 indexed citations
14.
Pfeil, Uwe, Muhammad Aslam, Renate Paddenberg, et al.. (2009). Intermedin/adrenomedullin-2 is a hypoxia-induced endothelial peptide that stabilizes pulmonary microvascular permeability. American Journal of Physiology-Lung Cellular and Molecular Physiology. 297(5). L837–L845. 56 indexed citations
15.
Papadakis, Tamara, et al.. (2008). Suitability of muscarinic acetylcholine receptor antibodies for immunohistochemistry evaluated on tissue sections of receptor gene-deficient mice. Naunyn-Schmiedeberg s Archives of Pharmacology. 379(4). 389–395. 122 indexed citations
16.
Nandigama, Rajender, Tamara Papadakis, Ulrich Schwantes, et al.. (2008). BLADDER AFFERENT NEURONS EXPRESS NICOTINIC AND MUSCARINIC CHOLINERGIC RECEPTORS IN THE MOUSE. The Journal of Urology. 179(4S). 130–131. 1 indexed citations
17.
König, Peter, Jürgen Dedio, Stefanie Oess, et al.. (2005). NOSIP and Its Interacting Protein, eNOS, in the Rat Trachea and Lung. Journal of Histochemistry & Cytochemistry. 53(2). 155–164. 27 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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