P.H. Steenbergh

26 papers receiving 1.5k citations

Peers

P.H. Steenbergh
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 522
  • Cellular and Molecular Neuroscience 521
  • Molecular Biology 1.0k
  • Genetics 399
  • Reproductive Medicine 79
Replace E. L. Hooghe‐Peters with:
E. L. Hooghe‐Peters Belgium
Marie H. Greider United States
Tony Antakly Canada
Luping Shen United States
Luciana Usellini Italy
P. Colosi United States
Jean‐Louis Frendo France
Ward H. Lutz United States
Frederick B. Merk United States
Paul A. Kelly France
P.H. Steenbergh relative to E. L. Hooghe‐Peters Belgium E. L. Hooghe‐Peters's profile →
Citations per field
00.5×2×2.8×
E. L. Hooghe‐Peters · 1×
Citations per year

Countries citing papers authored by P.H. Steenbergh

Since Specialization
Citations

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

Fields of papers citing papers by P.H. Steenbergh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.H. Steenbergh. 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 P.H. Steenbergh. The network helps show where P.H. Steenbergh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985342
2
DNA methylation patterns of the calcitonin gene in human lung cancers and lymphomas.
1986181
3 1984106
4 1977103
5 200398
6 199178
7 198471
8 199567
9 199467
10 199159
11 198558
12 200053
13 199249
14 197845
15 198642
16 198637
17 198731
18 198430
19 197929
20 198724

About P.H. Steenbergh

P.H. Steenbergh is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Genetics, Molecular Biology and Oncology, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Neuropeptides and Animal Physiology (10 papers), Pancreatic function and diabetes (5 papers), Signaling Pathways in Disease (4 papers), Peptidase Inhibition and Analysis (4 papers), Virus-based gene therapy research (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (522 citations), Cellular and Molecular Neuroscience (521 citations), Molecular Biology (1.0k citations), Genetics (399 citations) and Reproductive Medicine (79 citations). P.H. Steenbergh has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Cornelis J.M. Lips, J.S. Sussenbach, Jo W.M. Höppener, H.S. Jansz, J. Zandberg, Irene H.L. Hamelers, Stephen B. Baylin, Barry D. Nelkin, Evelien J. Jansen and A de Bustros. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Molecular and Cellular Endocrinology, FEBS Letters, Nucleic Acids Research and Molecular 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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