Theo Pelzer

2.0k citations
48 papers · 1.6k · h-index 23

Impact in

Papers in

Theo Pelzer

46 papers receiving 1.6k citations

Peers

Theo Pelzer
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 403
  • Genetics 408
  • Oncology 361
  • Cardiology and Cardiovascular Medicine 264
  • Pulmonary and Respiratory Medicine 279
Replace Takeshi Aoyama with:
Takeshi Aoyama Japan
Kristin Ellison United States
Robert X.-D. Song United States
Sara S. Roscioni Netherlands
Philipp Stawowy Germany
Pamela Harding United States
Christos Adamopoulos Greece
Folke Schmidt Germany
Yiu-Fai Chen United States
Tatsuhiko Mori Japan
Theo Pelzer relative to Takeshi Aoyama Japan Takeshi Aoyama's profile →
Citations per field
00.5×5.9×
Takeshi Aoyama · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Theo Pelzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Theo Pelzer Line = papers co-authored together Theo Pelzer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014218
2 2005108
3 201690
4 200089
5 200375
6 201668
7 200567
8 200166
9 200765
10 200164
11 201357
12 200756
13 201647
14 201745
15 202035
16 200632
17 200832
18 200929
19 199625
20 202225

About Theo Pelzer

Theo Pelzer is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Oncology, Molecular Biology and Physiology, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (16 papers), Hormonal Regulation and Hypertension (12 papers), Menopause: Health Impacts and Treatments (10 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Lung Cancer Research Studies (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Peptidase Inhibition and Analysis (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (403 citations), Genetics (408 citations), Oncology (361 citations), Cardiology and Cardiovascular Medicine (264 citations) and Pulmonary and Respiratory Medicine (279 citations). Theo Pelzer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ludwig Neyses, Paula-Anahi Arias-Loza, Virginija Jazbutyte, Christa Hegele‐Hartung, Kai Hu, Georg Ertl, Constantin Lapa, Manfred Neumann, Jenny Muck and Rainer Wiewrodt. Their work appears in journals such as Biochemical and Biophysical Research Communications, Hypertension, Oncotarget, Developmental Dynamics and Toxicologic Pathology.

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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