Theo Pelzer

2.0k total citations
48 papers, 1.6k citations indexed

About

Theo Pelzer is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Theo Pelzer has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 20 papers in Endocrinology, Diabetes and Metabolism and 12 papers in Oncology. Recurrent topics in Theo Pelzer's work include Estrogen and related hormone effects (22 papers), Hormonal Regulation and Hypertension (13 papers) and Menopause: Health Impacts and Treatments (12 papers). Theo Pelzer is often cited by papers focused on Estrogen and related hormone effects (22 papers), Hormonal Regulation and Hypertension (13 papers) and Menopause: Health Impacts and Treatments (12 papers). Theo Pelzer collaborates with scholars based in Germany, United States and United Kingdom. Theo Pelzer's co-authors include Ludwig Neyses, Paula-Anahi Arias-Loza, Virginija Jazbutyte, Christa Hegele‐Hartung, Georg Ertl, Kai Hu, Manfred Neumann, Constantin Lapa, Jenny Muck and Petra Hoffknecht and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and PLoS ONE.

In The Last Decade

Theo Pelzer

46 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Theo Pelzer Germany 23 479 449 422 363 311 48 1.6k
Jason Gay United States 18 201 0.4× 415 0.9× 440 1.0× 653 1.8× 120 0.4× 30 1.6k
Stefan-Martin Herrmann Germany 21 277 0.6× 398 0.9× 152 0.4× 478 1.3× 158 0.5× 24 1.9k
Frédérique Savagner France 24 298 0.6× 793 1.8× 176 0.4× 1.0k 2.8× 120 0.4× 58 2.2k
Wendy Baur United States 21 461 1.0× 548 1.2× 153 0.4× 725 2.0× 155 0.5× 31 2.0k
Takeshi Aoyama Japan 18 338 0.7× 138 0.3× 163 0.4× 358 1.0× 270 0.9× 46 1.4k
Christos Adamopoulos Greece 28 189 0.4× 179 0.4× 272 0.6× 887 2.4× 201 0.6× 57 2.0k
Samir S. El‐Dahr United States 33 272 0.6× 630 1.4× 205 0.5× 1.7k 4.8× 542 1.7× 127 3.2k
Brigitte Fournier Switzerland 22 750 1.6× 169 0.4× 360 0.9× 1.1k 3.2× 333 1.1× 30 2.3k
Tatsuhiko Mori Japan 20 144 0.3× 157 0.3× 147 0.3× 257 0.7× 131 0.4× 75 1.1k
Sara S. Roscioni Netherlands 17 173 0.4× 277 0.6× 107 0.3× 554 1.5× 142 0.5× 26 1.3k

Countries citing papers authored by Theo Pelzer

Since Specialization
Citations

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

Fields of papers citing papers by Theo Pelzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theo Pelzer

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

All Works

20 of 20 papers shown
1.
Schindele, Andreas, Malte Kircher, Alexander Dierks, et al.. (2023). In-Vivo Somatostatin-Receptor Expression in Small Cell Lung Cancer as a Prognostic Image Biomarker and Therapeutic Target. Cancers. 15(14). 3595–3595. 4 indexed citations
2.
Schilling, Bastian, Sabrina Kraus, Götz Ulrich Grigoleit, et al.. (2022). Volumetric absorptive microsampling (VAMS) for the quantification of ten kinase inhibitors and determination of their in vitro VAMS-to-plasma ratio. Journal of Pharmaceutical and Biomedical Analysis. 211. 114623–114623. 23 indexed citations
3.
4.
Lapa, Constantin, Götz Ulrich Grigoleit, Heribert Hänscheid, et al.. (2016). Peptide Receptor Radionuclide Therapy for Sarcoidosis. American Journal of Respiratory and Critical Care Medicine. 194(11). 1428–1430. 3 indexed citations
5.
Yamane, Tomohiko, Paula-Anahi Arias-Loza, Hiroshi Wakabayashi, et al.. (2016). Impact of tissue photon attenuation in small animal cardiac PET imaging. International Journal of Cardiology. 227. 257–260. 4 indexed citations
6.
Lapa, Constantin, Martina Rudelius, Andreas Schirbel, et al.. (2016). [68Ga]-Pentixafor-PET/CT for imaging of chemokine receptor 4 expression in small cell lung cancer - initial experience. 57. 251–251. 1 indexed citations
7.
8.
Arias-Loza, Paula-Anahi, et al.. (2013). Estrogen and estrogen receptors in cardiovascular oxidative stress. Pflügers Archiv - European Journal of Physiology. 465(5). 739–746. 57 indexed citations
9.
Nordbeck, Peter, Karl‐Heinz Hiller, Sabine Voll, et al.. (2013). Impact of Thoracic Surgery on Cardiac Morphology and Function in Small Animal Models of Heart Disease: A Cardiac MRI Study in Rats. PLoS ONE. 8(8). e68275–e68275. 7 indexed citations
10.
Jazbutyte, Virginija, Franz Kehl, Ludwig Neyses, & Theo Pelzer. (2009). Estrogen receptor alpha interacts with 17β-hydroxysteroid dehydrogenase type 10 in mitochondria. Biochemical and Biophysical Research Communications. 384(4). 450–454. 29 indexed citations
11.
Pelzer, Theo, et al.. (2005). Pioglitazone reverses downregulation of cardiac PPARgamma; expression in Zucker diabetic fat rats.. Biochemical and Biophysical Research Communications. 329. 1 indexed citations
12.
Pelzer, Theo, Kai Hu, Stephan Segerer, et al.. (2005). The estrogen receptor-α agonist 16α-LE2 inhibits cardiac hypertrophy and improves hemodynamic function in estrogen-deficient spontaneously hypertensive rats. Cardiovascular Research. 67(4). 604–612. 67 indexed citations
13.
Pelzer, Theo, et al.. (2002). Oestrogen action on the myocardium in vivo: specific and permissive for angiotensin-converting enzyme inhibition. Journal of Hypertension. 20(5). 1001–1006. 19 indexed citations
14.
Pelzer, Theo, et al.. (2001). Mechanisms of Estrogen Receptor Action in the Myocardium. Journal of Biological Chemistry. 276(30). 27873–27880. 66 indexed citations
15.
Pelzer, Theo, Michael Schümann, Manfred Neumann, et al.. (2000). 17β-Estradiol Prevents Programmed Cell Death in Cardiac Myocytes. Biochemical and Biophysical Research Communications. 268(1). 192–200. 89 indexed citations
16.
Pelzer, Theo, et al.. (1997). Modulation of Cardiac Hypertrophy by Estrogens. Advances in experimental medicine and biology. 432. 83–89. 23 indexed citations
17.
Pelzer, Theo, et al.. (1996). Estrogen effects in the heart. Molecular and Cellular Biochemistry. 160-161(1). 307–313. 21 indexed citations
18.
Pelzer, Theo, Gary E. Lyons, Stuart Kim, & Randall W. Moreadith. (1996). Cloning and characterization of the murine homolog of thesno proto-oncogene reveals a novel splice variant. Developmental Dynamics. 205(2). 114–125. 25 indexed citations
19.
Neyses, Ludwig & Theo Pelzer. (1995). Eingeladener ubersichtsvortrag und -artikel. Molekulare Adaption des Herzens an Hypertonie. Zeitschrift für Kardiologie. 84(4). 71–76. 4 indexed citations
20.
Neyses, Ludwig & Theo Pelzer. (1995). The biological cascade leading to cardiac hypertrophy. European Heart Journal. 16(suppl N). 8–11. 22 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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