Peter Jo

1.4k total citations
28 papers, 924 citations indexed

About

Peter Jo is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Peter Jo has authored 28 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 10 papers in Pathology and Forensic Medicine and 9 papers in Cancer Research. Recurrent topics in Peter Jo's work include Colorectal Cancer Surgical Treatments (11 papers), Genetic factors in colorectal cancer (10 papers) and Colorectal Cancer Treatments and Studies (8 papers). Peter Jo is often cited by papers focused on Colorectal Cancer Surgical Treatments (11 papers), Genetic factors in colorectal cancer (10 papers) and Colorectal Cancer Treatments and Studies (8 papers). Peter Jo collaborates with scholars based in Germany, United States and Netherlands. Peter Jo's co-authors include Jochen Gaedcke, Tim Beißbarth, Marian Grade, Georg Emons, Michael Ghadimi, Hendrik A. Wolff, Thomas Ried, Β. Michael Ghadimi, Klaus Jung and Markus Schirmer and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Peter Jo

25 papers receiving 908 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Jo 476 440 279 169 157 28 924
Alexander Gaber 365 0.8× 296 0.7× 224 0.8× 156 0.9× 161 1.0× 29 791
Francisco Beça 383 0.8× 321 0.7× 353 1.3× 125 0.7× 73 0.5× 33 829
Zheling Chen 280 0.6× 378 0.9× 214 0.8× 162 1.0× 112 0.7× 44 791
Yuchen Bai 693 1.5× 452 1.0× 226 0.8× 186 1.1× 66 0.4× 21 1.0k
Chikashi Kihara 704 1.5× 338 0.8× 167 0.6× 112 0.7× 114 0.7× 18 984
Raymond Wadlow 484 1.0× 485 1.1× 196 0.7× 110 0.7× 79 0.5× 36 944
Ondřej Vyčítal 481 1.0× 339 0.8× 441 1.6× 79 0.5× 138 0.9× 43 914
Ken Suzawa 483 1.0× 504 1.1× 282 1.0× 112 0.7× 124 0.8× 80 1.1k
Karen G. Spink 392 0.8× 278 0.6× 169 0.6× 89 0.5× 96 0.6× 13 722
Shane R. Stecklein 374 0.8× 471 1.1× 356 1.3× 99 0.6× 91 0.6× 52 934

Countries citing papers authored by Peter Jo

Since Specialization
Citations

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

Fields of papers citing papers by Peter Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Jo. A scholar is included among the top collaborators of Peter Jo 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 Jo. Peter Jo 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.
Ghadimi, Michael, et al.. (2025). Integration molekularer, genetischer und chirurgischer Erkenntnisse in die Indikationsstellung zur präventiven Schilddrüsenchirurgie. Zentralblatt für Chirurgie - Zeitschrift für Allgemeine Viszeral- Thorax- und Gefäßchirurgie. 151(1). 51–56.
3.
4.
Emons, Georg, Noam Auslander, Peter Jo, et al.. (2022). Gene-expression profiles of pretreatment biopsies predict complete response of rectal cancer patients to preoperative chemoradiotherapy. British Journal of Cancer. 127(4). 766–775. 11 indexed citations
5.
Azizian, Azadeh, T. Krause, Markus Bernhardt, et al.. (2020). CA19-9 for detecting recurrence of pancreatic cancer. Scientific Reports. 10(1). 1332–1332. 119 indexed citations
6.
Jo, Peter, Markus Bernhardt, Manuel Nietert, et al.. (2020). KRAS mutation status concordance between the primary tumor and the corresponding metastasis in patients with rectal cancer. PLoS ONE. 15(10). e0239806–e0239806. 10 indexed citations
7.
Hu, Yue, Jochen Gaedcke, Georg Emons, et al.. (2017). Colorectal cancer susceptibility loci as predictive markers of rectal cancer prognosis after surgery. Genes Chromosomes and Cancer. 57(3). 140–149. 82 indexed citations
8.
Croner, Roland S., Metodi V. Metodiev, Peter Jo, et al.. (2016). Identification of Predictive Markers for Response to Neoadjuvant Chemoradiation in Rectal Carcinomas by Proteomic Isotope Coded Protein Label (ICPL) Analysis. International Journal of Molecular Sciences. 17(2). 209–209. 22 indexed citations
9.
Jo, Peter, Manuel Nietert, Julia Kitz, et al.. (2016). Neoadjuvant Therapy in Rectal Cancer - Biobanking of Preoperative Tumor Biopsies. Scientific Reports. 6(1). 35589–35589. 7 indexed citations
10.
Jo, Peter, Alexander König, Markus Schirmer, et al.. (2016). Heterogeneity of KRAS Mutation Status in Rectal Cancer. PLoS ONE. 11(4). e0153278–e0153278. 15 indexed citations
11.
Ghadimi, Β. Michael & Peter Jo. (2015). Cancer Gene Profiling for Response Prediction. Methods in molecular biology. 1381. 163–179. 6 indexed citations
12.
Spitzner, Melanie, Frank Krämer, Xin Zhang, et al.. (2013). Identification of a microRNA expression signature for chemoradiosensitivity of colorectal cancer cells, involving miRNAs-320a, -224, -132 and let7g. Radiotherapy and Oncology. 108(3). 451–457. 60 indexed citations
13.
Gaiser, Timo, Daniela Hirsch, Jonathan Keith Killian, et al.. (2012). Molecular patterns in the evolution of serrated lesion of the colorectum. International Journal of Cancer. 132(8). 1800–1810. 28 indexed citations
14.
Schirmer, Markus, Margret Rave‐Fränk, Markus K. A. Herrmann, et al.. (2011). Acute Toxicity of Radiochemotherapy in Rectal Cancer Patients: A Risk Particularly for Carriers of the TGFB1 Pro25 variant. International Journal of Radiation Oncology*Biology*Physics. 83(1). 149–157. 16 indexed citations
15.
Jo, Peter, Klaus Jung, Marian Grade, et al.. (2011). CpG island methylator phenotype infers a poor disease-free survival in locally advanced rectal cancer. Surgery. 151(4). 564–570. 38 indexed citations
16.
Conradi, Lena‐Christin, Annalen Bleckmann, Markus Schirmer, et al.. (2011). Thymidylate Synthase as a Prognostic Biomarker for Locally Advanced Rectal Cancer after multimodal Treatment. Annals of Surgical Oncology. 18(9). 2442–2452. 13 indexed citations
17.
Gaedcke, Jochen, Marian Grade, Klaus Jung, et al.. (2010). Mutated KRAS results in overexpression of DUSP4, a MAP‐kinase phosphatase, and SMYD3, a histone methyltransferase, in rectal carcinomas. Genes Chromosomes and Cancer. 49(11). 1024–1034. 163 indexed citations
18.
Opitz, Lennart, Gabriela Salinas-Riester, Marian Grade, et al.. (2010). Impact of RNA degradation on gene expression profiling. BMC Medical Genomics. 3(1). 36–36. 161 indexed citations
19.
Jung, Klaus, Marian Grade, Jochen Gaedcke, et al.. (2010). A new sensitivity-preferred strategy to build prediction rules for therapy response of cancer patients using gene expression data. Computer Methods and Programs in Biomedicine. 100(2). 132–139. 6 indexed citations
20.
Gaedcke, Jochen, Marian Grade, Klaus Jung, et al.. (2009). KRAS and BRAF mutations in patients with rectal cancer treated with preoperative chemoradiotherapy. Radiotherapy and Oncology. 94(1). 76–81. 77 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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