E. Pötter

743 citations
18 papers · 631 · h-index 13

Impact in

Papers in

E. Pötter

18 papers receiving 619 citations

Peers

E. Pötter
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 165
  • Molecular Biology 359
  • Physiology 20
  • Oncology 70
  • Plant Science 106
Replace Mark A. Seyfred with:
Mark A. Seyfred United States
Aurélia E. Lewis Norway
Nancy A. Thompson Switzerland
Hsueh‐Ping Chu Taiwan
Donato Civitareale Italy
Anthony Vertino United States
Jens Behrends Germany
C. Blat France
David Brett Germany
Annamaria Rosica Italy
E. Pötter relative to Mark A. Seyfred United States Mark A. Seyfred's profile →
Citations per field
00.5×2.9×
Mark A. Seyfred · 1×
Citations per year

Countries citing papers authored by E. Pötter

Since Specialization
Citations

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

Fields of papers citing papers by E. Pötter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Pötter, 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 E. Pötter Line = papers co-authored together E. Pötter links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1999102
2 199391
3
Immunohistochemical detection of E-cadherin in differentiated thyroid carcinomas correlates with clinical outcome.
199789
4 200270
5 199545
6 199240
7 199831
8 200125
9 200024
10 199522
11 199920
12 200517
13 199415
14 200512
15 199710
16 20009
17 20037
18 20092

About E. Pötter

E. Pötter is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Plant Science and Pathology and Forensic Medicine, having authored 18 papers that have together received 631 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (7 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cancer-related gene regulation (4 papers), Adenosine and Purinergic Signaling (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Plant Stress Responses and Tolerance (2 papers), Thyroid Disorders and Treatments (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (165 citations), Molecular Biology (359 citations), Physiology (20 citations), Oncology (70 citations) and Plant Science (106 citations). E. Pötter has collaborated with scholars based in Germany, India and France. Frequent co-authors include Georg Brabant, Klaus Kloppstech, Clemens Bergwitz, Reinhard von Wasielewski, T. Petrich, Wolfram H. Knapp, H. Dralle, G. F. W. Scheumann, Martin Werner and A. Georgii. Their work appears in journals such as Biochemical and Biophysical Research Communications, British Journal of Cancer, PLANT PHYSIOLOGY, European Journal of Nuclear Medicine and Molecular Imaging and Experimental and Clinical Endocrinology & Diabetes.

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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