Johann Gout

1.1k total citations
30 papers, 594 citations indexed

About

Johann Gout is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Johann Gout has authored 30 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 11 papers in Molecular Biology and 8 papers in Surgery. Recurrent topics in Johann Gout's work include Pancreatic and Hepatic Oncology Research (14 papers), Cancer Genomics and Diagnostics (8 papers) and Cancer Cells and Metastasis (6 papers). Johann Gout is often cited by papers focused on Pancreatic and Hepatic Oncology Research (14 papers), Cancer Genomics and Diagnostics (8 papers) and Cancer Cells and Metastasis (6 papers). Johann Gout collaborates with scholars based in Germany, France and United States. Johann Gout's co-authors include Alexander Kleger, Thomas Seufferlein, Lukas Perkhofer, Laurent Bartholin, Élodie Roger, Danielle Naville, Martine Bégeot, Roxane M. Pommier, Bastien Kaniewski and Sylvie Martel and has published in prestigious journals such as Cancer Research, Advanced Drug Delivery Reviews and Gut.

In The Last Decade

Johann Gout

28 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johann Gout Germany 14 263 255 146 120 70 30 594
Bélinda Duchêne France 14 235 0.9× 321 1.3× 132 0.9× 166 1.4× 112 1.6× 21 692
Xingyu Mu China 13 140 0.5× 326 1.3× 158 1.1× 108 0.9× 92 1.3× 29 560
Yugang Cheng China 13 269 1.0× 218 0.9× 133 0.9× 187 1.6× 58 0.8× 30 586
Hekun Liu China 15 166 0.6× 358 1.4× 100 0.7× 71 0.6× 99 1.4× 33 626
Keren Bitton-Worms Israel 9 163 0.6× 410 1.6× 149 1.0× 57 0.5× 27 0.4× 12 653
Ioannis Varakis Greece 12 174 0.7× 298 1.2× 142 1.0× 81 0.7× 57 0.8× 16 655
Jae Won Cho South Korea 11 121 0.5× 274 1.1× 111 0.8× 114 0.9× 28 0.4× 33 579
Kuang‐Tzu Huang Taiwan 14 101 0.4× 285 1.1× 149 1.0× 58 0.5× 52 0.7× 38 528
Brian Fulp United States 7 184 0.7× 189 0.7× 61 0.4× 196 1.6× 86 1.2× 7 472
Kirsty R. Greenow United Kingdom 9 105 0.4× 185 0.7× 74 0.5× 100 0.8× 55 0.8× 13 383

Countries citing papers authored by Johann Gout

Since Specialization
Citations

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

Fields of papers citing papers by Johann Gout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johann Gout

This figure shows the co-authorship network connecting the top 25 collaborators of Johann Gout. A scholar is included among the top collaborators of Johann Gout 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 Johann Gout. Johann Gout 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.
Gout, Johann, et al.. (2025). Pancreatic organoids as cancer avatars for true personalized medicine. Advanced Drug Delivery Reviews. 224. 115642–115642. 1 indexed citations
2.
Gout, Johann, et al.. (2025). Tumor microenvironment subtyping in pancreatic ductal adenocarcinoma: New avenues for personalized therapeutic strategies. Advanced Drug Delivery Reviews. 226. 115697–115697.
3.
Beutel, Alica K., et al.. (2024). Organoid‐based precision medicine in pancreatic cancer. United European Gastroenterology Journal. 13(1). 21–33. 3 indexed citations
4.
Schirge, Silvia, Johann Gout, Frank Arnold, et al.. (2023). TBX3 is dynamically expressed in pancreatic organogenesis and fine-tunes regeneration. BMC Biology. 21(1). 55–55. 1 indexed citations
5.
Gout, Johann, Élodie Roger, Alexander Kleger, & Lukas Perkhofer. (2022). A Methodological Workflow to Analyze Synthetic Lethality and Drug Synergism in Cancer Cells. Methods in molecular biology. 2535. 59–72.
6.
Perkhofer, Lukas, Talia Golan, Pieter‐Jan Cuyle, et al.. (2021). Targeting DNA Damage Repair Mechanisms in Pancreas Cancer. Cancers. 13(17). 4259–4259. 17 indexed citations
7.
Beutel, Alica K., Lena Schütte, Élodie Roger, et al.. (2021). A Prospective Feasibility Trial to Challenge Patient–Derived Pancreatic Cancer Organoids in Predicting Treatment Response. Cancers. 13(11). 2539–2539. 37 indexed citations
8.
Perkhofer, Lukas, Johann Gout, Élodie Roger, et al.. (2020). DNA damage repair as a target in pancreatic cancer: state-of-the-art and future perspectives. Gut. 70(3). 606–617. 130 indexed citations
9.
Walter, Karolin, Marija Trajkovic‐Arsic, Ana Hidalgo‐Sastre, et al.. (2019). MEK Inhibition Targets Cancer Stem Cells and Impedes Migration of Pancreatic Cancer CellsIn VitroandIn Vivo. Stem Cells International. 2019. 1–11. 12 indexed citations
10.
Perkhofer, Lukas, Johann Gout, Frank Arnold, et al.. (2019). Pancreatic Ductal Organoids React Kras Dependent to the Removal of Tumor Suppressive Roadblocks. Stem Cells International. 2019. 1–8. 3 indexed citations
11.
Calvé, Benjamin Le, Audrey Griveau, David Vindrieux, et al.. (2016). Lysyl oxidase family activity promotes resistance of pancreatic ductal adenocarcinoma to chemotherapy by limiting the intratumoral anticancer drug distribution. Oncotarget. 7(22). 32100–32112. 55 indexed citations
12.
Pommier, Roxane M., Johann Gout, David F. Vincent, et al.. (2015). TIF1γ Suppresses Tumor Progression by Regulating Mitotic Checkpoints and Chromosomal Stability. Cancer Research. 75(20). 4335–4350. 31 indexed citations
13.
Gout, Johann, Roxane M. Pommier, David F. Vincent, et al.. (2013). Isolation and Culture of Mouse Primary Pancreatic Acinar Cells. Journal of Visualized Experiments. 59 indexed citations
14.
Gout, Johann, Roxane M. Pommier, David F. Vincent, et al.. (2013). The conditional expression of KRASG12D in mouse pancreas induces disorganization of endocrine islets prior the onset of ductal pre-cancerous lesions. Pancreatology. 13(3). 191–195. 3 indexed citations
15.
Pommier, Roxane M., Johann Gout, David F. Vincent, et al.. (2012). The human NUPR1/P8 gene is transcriptionally activated by transforming growth factor β via the SMAD signalling pathway. Biochemical Journal. 445(2). 285–293. 29 indexed citations
16.
Gout, Johann, et al.. (2012). Generation of a conditional mouse model to target Acvr1b disruption in adult tissues. genesis. 51(2). 120–127. 11 indexed citations
17.
Gout, Johann, E. Mutel, M. Vigier, et al.. (2010). Metabolic and melanocortin gene expression alterations in male offspring of obese mice. Molecular and Cellular Endocrinology. 319(1-2). 99–108. 17 indexed citations
18.
Doghman, Mabrouka, et al.. (2009). Hormonal regulation of the mouse adrenal melanocortinergic system. Journal of Endocrinological Investigation. 32(1). 46–51. 3 indexed citations
20.
Gout, Johann, et al.. (2005). Expression of the human melanocortin-4 receptor gene is controlled by several members of the Sp transcription factor family. Journal of Molecular Endocrinology. 34(2). 317–329. 5 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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