Joost M.J. Geesing

731 total citations
9 papers, 277 citations indexed

About

Joost M.J. Geesing is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Joost M.J. Geesing has authored 9 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Surgery. Recurrent topics in Joost M.J. Geesing's work include Colorectal Cancer Surgical Treatments (6 papers), Colorectal Cancer Screening and Detection (5 papers) and Gastric Cancer Management and Outcomes (5 papers). Joost M.J. Geesing is often cited by papers focused on Colorectal Cancer Surgical Treatments (6 papers), Colorectal Cancer Screening and Detection (5 papers) and Gastric Cancer Management and Outcomes (5 papers). Joost M.J. Geesing collaborates with scholars based in Netherlands, Germany and United Kingdom. Joost M.J. Geesing's co-authors include Leon M.G. Moons, Miangela M. Laclé, Wouter H. de Vos tot Nederveen Cappel, B.W.M. Spanier, Yara Backes, Frank H.J. Wolfhagen, Frank ter Borg, Matthijs P. Schwartz, Sjoerd G. Elias and J. van Bergeijk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and The American Journal of Gastroenterology.

In The Last Decade

Joost M.J. Geesing

9 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joost M.J. Geesing Netherlands 8 226 193 85 35 33 9 277
Hendrikus J.M. Pullens Netherlands 9 216 1.0× 168 0.9× 118 1.4× 35 1.0× 40 1.2× 16 263
Koen Kessels Netherlands 8 179 0.8× 135 0.7× 78 0.9× 16 0.5× 37 1.1× 10 230
Kensuke Shinmura Japan 10 115 0.5× 199 1.0× 139 1.6× 42 1.2× 25 0.8× 49 280
Naoya Toyoshima Japan 7 114 0.5× 175 0.9× 126 1.5× 71 2.0× 12 0.4× 31 223
Tomokazu Hisayuki Japan 7 140 0.6× 94 0.5× 76 0.9× 23 0.7× 18 0.5× 20 186
Shingo Matsudaira Japan 6 188 0.8× 141 0.7× 86 1.0× 11 0.3× 20 0.6× 17 241
Tomoyuki Tamura Japan 4 245 1.1× 252 1.3× 112 1.3× 48 1.4× 97 2.9× 6 351
Ineke van Lijnschoten Netherlands 10 183 0.8× 66 0.3× 188 2.2× 17 0.5× 18 0.5× 13 255
Wenxiang Wang China 8 139 0.6× 186 1.0× 73 0.9× 15 0.4× 8 0.2× 25 232
Franco Ferrero Italy 3 260 1.2× 187 1.0× 89 1.0× 11 0.3× 93 2.8× 5 286

Countries citing papers authored by Joost M.J. Geesing

Since Specialization
Citations

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

Fields of papers citing papers by Joost M.J. Geesing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joost M.J. Geesing. 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 Joost M.J. Geesing. The network helps show where Joost M.J. Geesing may publish in the future.

Co-authorship network of co-authors of Joost M.J. Geesing

This figure shows the co-authorship network connecting the top 25 collaborators of Joost M.J. Geesing. A scholar is included among the top collaborators of Joost M.J. Geesing 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 Joost M.J. Geesing. Joost M.J. Geesing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Peters, Niek A., Inge Ubink, Joyce van Kuik, et al.. (2022). Consensus molecular subtype 4 (CMS4)-targeted therapy in primary colon cancer: A proof-of-concept study. Frontiers in Oncology. 12. 969855–969855. 17 indexed citations
2.
Moons, Leon M.G., Frank ter Borg, Jeroen D. van Bergeijk, et al.. (2020). Management of delayed bleeding after endoscopic mucosal resection of large colorectal polyps: a retrospective multi-center cohort study. SHILAP Revista de lepidopterología. 8(8). E1052–E1060. 5 indexed citations
4.
Backes, Yara, Wouter H. de Vos tot Nederveen Cappel, J. van Bergeijk, et al.. (2017). Risk for Incomplete Resection after Macroscopic Radical Endoscopic Resection of T1 Colorectal Cancer: A Multicenter Cohort Study. The American Journal of Gastroenterology. 112(5). 785–796. 45 indexed citations
5.
Backes, Yara, Sjoerd G. Elias, John N. Groen, et al.. (2017). The prognostic value of lymph node yield in the earliest stage of colorectal cancer: a multicenter cohort study. BMC Medicine. 15(1). 129–129. 24 indexed citations
6.
Moons, Leon M.G., Joost M.J. Geesing, Miangela M. Laclé, et al.. (2017). Extent of unnecessary surgery for benign rectal polyps in the Netherlands. Gastrointestinal Endoscopy. 87(2). 562–570.e1. 20 indexed citations
7.
Backes, Yara, Leon M.G. Moons, Marco Novelli, et al.. (2016). Diagnosis of T1 colorectal cancer in pedunculated polyps in daily clinical practice: a multicenter study. Modern Pathology. 30(1). 104–112. 10 indexed citations
9.
Kessels, Koen, Sjoerd G. Elias, Yara Backes, et al.. (2016). Endoscopic resection of high-risk T1 colorectal carcinoma prior to surgical resection has no adverse effect on long-term outcomes. Gut. 67(2). 284–290. 78 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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