P.H. Steenbergh

27 papers receiving 1.5k citations

Peers

P.H. Steenbergh
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 499
  • Cellular and Molecular Neuroscience 482
  • Molecular Biology 982
  • Genetics 380
  • Oncology 249
Replace Luping Shen with:
Luping Shen United States
Marie H. Greider United States
Tony Antakly Canada
Y. Cetin Germany
C. Babinet France
W Lütz United States
Frederick B. Merk United States
P. Colosi United States
Stephen J. Usala United States
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Citations per field
00.5×2.8×
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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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985313
2
DNA methylation patterns of the calcitonin gene in human lung cancers and lymphomas.
1986174
3 198494
4 200393
5 197790
6 199172
7 199463
8 199562
9 198461
10 199153
11 198553
12 200052
13 199248
14 197842
15 198639
16 198636
17 198728
18 198427
19 197927
20 199122

About P.H. Steenbergh

P.H. Steenbergh is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Genetics and Oncology, having authored 27 papers that have together received 1.5k 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), Virus-based gene therapy research (5 papers), Signaling Pathways in Disease (4 papers), Peptidase Inhibition and Analysis (4 papers), Bacteriophages and microbial interactions (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (499 citations), Cellular and Molecular Neuroscience (482 citations), Molecular Biology (982 citations), Genetics (380 citations) and Oncology (249 citations). P.H. Steenbergh has collaborated with scholars based in Netherlands, United States and Italy. 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, E. Jansen and A de Bustros. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, FEBS Letters, Nucleic Acids Research, Molecular and Cellular Endocrinology and Biochemical and Biophysical Research Communications.

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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