Peter Hohenstein

5.5k total citations
65 papers, 2.8k citations indexed

About

Peter Hohenstein is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peter Hohenstein has authored 65 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 21 papers in Genetics and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peter Hohenstein's work include Renal and related cancers (42 papers), Renal cell carcinoma treatment (15 papers) and Pluripotent Stem Cells Research (10 papers). Peter Hohenstein is often cited by papers focused on Renal and related cancers (42 papers), Renal cell carcinoma treatment (15 papers) and Pluripotent Stem Cells Research (10 papers). Peter Hohenstein collaborates with scholars based in United Kingdom, Netherlands and United States. Peter Hohenstein's co-authors include Nicholas D. Hastie, Jamie A. Davies, Rachel L. Berry, Nils O. Lindström, Joan Slight, Eve Miller‐Hodges, Kathy Pritchard‐Jones, Derya D. Ozdemir, Juan Antonio Guadix and Ramón Muñoz‐Chápuli and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Peter Hohenstein

60 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Hohenstein United Kingdom 31 2.1k 601 497 386 276 65 2.8k
Leif Oxburgh United States 29 2.0k 0.9× 725 1.2× 346 0.7× 384 1.0× 143 0.5× 77 2.5k
Courtney M. Karner United States 30 2.4k 1.1× 464 0.8× 626 1.3× 336 0.9× 411 1.5× 54 3.2k
William Tse United States 24 1.0k 0.5× 577 1.0× 275 0.6× 755 2.0× 208 0.8× 71 3.2k
Ryuji Morizane United States 24 2.7k 1.3× 927 1.5× 333 0.7× 672 1.7× 391 1.4× 49 3.6k
Doris Herzlinger United States 30 3.1k 1.4× 808 1.3× 796 1.6× 532 1.4× 155 0.6× 46 3.7k
Anna Savoia Italy 38 1.7k 0.8× 737 1.2× 778 1.6× 162 0.4× 231 0.8× 121 4.1k
Minoru Takasato Japan 17 2.8k 1.3× 839 1.4× 327 0.7× 682 1.8× 367 1.3× 36 3.3k
Lars Ährlund‐Richter Sweden 27 3.2k 1.5× 222 0.4× 509 1.0× 763 2.0× 344 1.2× 62 4.4k
Umadevi Tantravahi United States 29 1.4k 0.7× 237 0.4× 946 1.9× 306 0.8× 478 1.7× 67 2.7k
Christopher B. Brown United States 28 1.8k 0.8× 353 0.6× 266 0.5× 342 0.9× 308 1.1× 61 2.7k

Countries citing papers authored by Peter Hohenstein

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hohenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Hohenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Hohenstein. A scholar is included among the top collaborators of Peter Hohenstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Hohenstein. Peter Hohenstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Urbach, Achia, et al.. (2024). Characterization of Alternative Splicing in High-Risk Wilms’ Tumors. International Journal of Molecular Sciences. 25(8). 4520–4520.
2.
Gregoire, Elodie P., Marie‐Cécile De Cian, Roberta Migale, et al.. (2023). The −KTS splice variant of WT1 is essential for ovarian determination in mice. Science. 382(6670). 600–606. 20 indexed citations
3.
Urbach, Achia, et al.. (2023). Characterization of Continuous Transcriptional Heterogeneity in High-Risk Blastemal-Type Wilms’ Tumors Using Unsupervised Machine Learning. International Journal of Molecular Sciences. 24(4). 3532–3532. 2 indexed citations
4.
Lee, Heetak, Gabriele Colozza, Ji‐Hyun Lee, et al.. (2022). SCON—a Short Conditional intrON for conditional knockout with one-step zygote injection. Experimental & Molecular Medicine. 54(12). 2188–2199. 3 indexed citations
5.
Armon, Leah, Debby Ickowicz, Efrat Bucris, et al.. (2020). Single-Cell RNA Sequencing Reveals mRNA Splice Isoform Switching during Kidney Development. Journal of the American Society of Nephrology. 31(10). 2278–2291. 14 indexed citations
6.
Grabert, Kathleen, Anuj Sehgal, Katharine M. Irvine, et al.. (2020). A Transgenic Line That Reports CSF1R Protein Expression Provides a Definitive Marker for the Mouse Mononuclear Phagocyte System. The Journal of Immunology. 205(11). 3154–3166. 60 indexed citations
7.
Munro, David A. D., Chris S. Vink, Zhuan Li, et al.. (2019). Macrophages restrict the nephrogenic field and promote endothelial connections during kidney development. eLife. 8. 53 indexed citations
8.
Cachat, Élise, Weijia Liu, K. Martin, et al.. (2016). 2- and 3-dimensional synthetic large-scale de novo patterning by mammalian cells through phase separation. Scientific Reports. 6(1). 20664–20664. 62 indexed citations
9.
Hohenstein, Peter, Kathy Pritchard‐Jones, & Jocelyn Charlton. (2015). The yin and yang of kidney development and Wilms’ tumors. Genes & Development. 29(5). 467–482. 91 indexed citations
10.
Staines, Katherine, Matthew Prideaux, Peter Hohenstein, et al.. (2015). E11 protein stabilisation by proteasome inhibition promotes osteocyte differentiation and may protect against osteoarthritis bone pathology. Osteoarthritis and Cartilage. 23. A57–A57.
11.
Hohenstein, Peter, et al.. (2012). Making Immortalized Cell Lines from Embryonic Mouse Kidney. Methods in molecular biology. 886. 165–171. 4 indexed citations
12.
Burn, Sally F., Anna Webb, Rachel L. Berry, et al.. (2011). Calcium/NFAT signalling promotes early nephrogenesis. Developmental Biology. 352(2). 288–298. 70 indexed citations
13.
Veikkolainen, Ville, Florence Naillat, Antti Railo, et al.. (2011). ErbB4 Modulates Tubular Cell Polarity and Lumen Diameter during Kidney Development. Journal of the American Society of Nephrology. 23(1). 112–122. 38 indexed citations
14.
Miller‐Hodges, Eve & Peter Hohenstein. (2011). WT1 in disease: shifting the epithelial–mesenchymal balance. The Journal of Pathology. 226(2). 229–240. 63 indexed citations
15.
Berry, Rachel L., Louise Harewood, Pei Liu, et al.. (2010). Esrrg functions in early branch generation of the ureteric bud and is essential for normal development of the renal papilla. Human Molecular Genetics. 20(5). 917–926. 26 indexed citations
16.
Hohenstein, Peter, Joan Slight, Derya D. Ozdemir, et al.. (2008). High-efficiency Rosa26 knock-in vector construction for Cre-regulated overexpression and RNAi. PubMed. 1(1). 3–3. 44 indexed citations
17.
Alberici, Paola, Emma de Pater, Martin van der Valk, et al.. (2005). Smad4 haploinsufficiency in mouse models for intestinal cancer. Oncogene. 25(13). 1841–1851. 58 indexed citations
18.
Hohenstein, Peter. (2004). Tumour Suppressor Genes—One Hit Can Be Enough. PLoS Biology. 2(2). e40–e40. 8 indexed citations
19.
Amini‐Nik, Saeid, Peter Hohenstein, Adriana Bastidas, et al.. (2004). Upregulation of Wilms' tumor gene 1 (WT1) in desmoid tumors. International Journal of Cancer. 114(2). 202–208. 37 indexed citations
20.
Hohenstein, Peter & Rachel H. Giles. (2003). BRCA1: a scaffold for p53 response?. Trends in Genetics. 19(9). 489–494. 21 indexed citations

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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