Egbert Schulze

1.4k citations
36 papers · 1.0k · h-index 20

Impact in

Papers in

Egbert Schulze

36 papers receiving 987 citations

Peers

Egbert Schulze
Comparison fields: 5 of 77
  • Nephrology 213
  • Clinical Biochemistry 202
  • Biochemistry 210
  • Endocrinology, Diabetes and Metabolism 270
  • Molecular Biology 477
Replace Jung Yeon Ghee with:
Jung Yeon Ghee South Korea
H. Ogier France
K. Narisawa Japan
Carlo M. Veneziale United States
Hoon‐In Choi South Korea
Masayo Yamagata Japan
Diana L. Fitzpatrick United States
Shanti Balasubramaniam Australia
Raffaello Roesel United States
T. Ohura Japan
Egbert Schulze relative to Jung Yeon Ghee South Korea Jung Yeon Ghee's profile →
Citations per field
00.5×8.1×
Jung Yeon Ghee · 1×
Citations per year

Countries citing papers authored by Egbert Schulze

Since Specialization
Citations

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

Fields of papers citing papers by Egbert Schulze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992205
2 201278
3 201165
4 200860
5 200449
6 201045
7 201137
8 199837
9 200835
10 200334
11 201028
12 201128
13
Change in the spectrum of RET mutations diagnosed between 1994 and 2006.
200727
14 201624
15 200524
16 200824
17 201423
18 201821
19 199119
20 199119

About Egbert Schulze

Egbert Schulze is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Nephrology, Clinical Biochemistry and Biochemistry, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biochemical Acid Research Studies (9 papers), Metabolism and Genetic Disorders (9 papers), Sexual Differentiation and Disorders (9 papers), Parathyroid Disorders and Treatments (9 papers), Neuroendocrine Tumor Research Advances (4 papers), Biochemical and Molecular Research (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Nephrology (213 citations), Clinical Biochemistry (202 citations), Biochemistry (210 citations), Endocrinology, Diabetes and Metabolism (270 citations) and Molecular Biology (477 citations). Egbert Schulze has collaborated with scholars based in Germany, Netherlands and Romania. Frequent co-authors include Adrie H. Westphal, Arie de KOK, Karin Frank‐Raue, Friedhelm Raue, Christine Haag, G. Obmolova, Andrea Mattevi, Wim G. J. Hol, Kor H. Kalk and Christof Schöfl. Their work appears in journals such as Hormone Research in Paediatrics, European Journal of Biochemistry, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and European Journal of Endocrinology.

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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