Guillaume Kugener

3.2k total citations · 1 hit paper
22 papers, 846 citations indexed

About

Guillaume Kugener is a scholar working on Surgery, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Guillaume Kugener has authored 22 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 6 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Guillaume Kugener's work include Surgical Simulation and Training (10 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Colorectal Cancer Screening and Detection (2 papers). Guillaume Kugener is often cited by papers focused on Surgical Simulation and Training (10 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Colorectal Cancer Screening and Detection (2 papers). Guillaume Kugener collaborates with scholars based in United States, Canada and Austria. Guillaume Kugener's co-authors include Todd R. Golub, Aviad Tsherniak, Weiwen Ying, Nora Kory, Jordan Rossen, Irene M. Ghobrial, Alexandre Detappe, Kai Cai, Mustafa Kocak and Heather R. Keys and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Guillaume Kugener

20 papers receiving 839 citations

Hit Papers

Mitochondrial metabolism promotes adaptation to proteotox... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillaume Kugener United States 11 439 199 187 149 134 22 846
Yuzhu Li China 9 334 0.8× 438 2.2× 263 1.4× 87 0.6× 75 0.6× 28 749
Kathleen M. Woods Ignatoski United States 19 420 1.0× 109 0.5× 126 0.7× 291 2.0× 86 0.6× 30 858
Xiaozai Xie China 11 498 1.1× 461 2.3× 382 2.0× 137 0.9× 34 0.3× 15 831
Suhua Nie United States 18 363 0.8× 150 0.8× 111 0.6× 82 0.6× 54 0.4× 24 761
Xiaobo Cui China 18 574 1.3× 66 0.3× 319 1.7× 210 1.4× 94 0.7× 49 864
Tomonori Tadokoro Japan 13 558 1.3× 424 2.1× 278 1.5× 233 1.6× 64 0.5× 23 1.1k
Akihito Ishikita Japan 11 434 1.0× 318 1.6× 211 1.1× 120 0.8× 56 0.4× 19 799
Christine Sikora United States 8 302 0.7× 201 1.0× 78 0.4× 76 0.5× 44 0.3× 9 669

Countries citing papers authored by Guillaume Kugener

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Kugener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Kugener

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Kugener. A scholar is included among the top collaborators of Guillaume Kugener 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 Guillaume Kugener. Guillaume Kugener 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.
Kugener, Guillaume, Dhiraj J. Pangal, Hee Won Lee, et al.. (2024). Simulated outcomes for durotomy repair in minimally invasive spine surgery. Scientific Data. 11(1). 62–62. 4 indexed citations
3.
Kalfon, Jérémie, Yaser Heshmati, Joshua M. Dempster, et al.. (2022). Transcriptional Plasticity Drives Leukemia Immune Escape. Blood Cancer Discovery. 3(5). 394–409. 12 indexed citations
4.
Pangal, Dhiraj J., Guillaume Kugener, Yichao Zhu, et al.. (2022). Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video. Scientific Reports. 12(1). 8137–8137. 16 indexed citations
5.
Kugener, Guillaume, Yichao Zhu, Dhiraj J. Pangal, et al.. (2022). Deep Neural Networks Can Accurately Detect Blood Loss and Hemorrhage Control Task Success From Video. Neurosurgery. 90(6). 823–829. 9 indexed citations
6.
Kugener, Guillaume, Dhiraj J. Pangal, Aditya Sinha, et al.. (2022). Validation of Machine Learning–Based Automated Surgical Instrument Annotation Using Publicly Available Intraoperative Video. Operative Neurosurgery. 23(3). 235–240. 3 indexed citations
7.
Malone, Clare F., Neekesh V. Dharia, Guillaume Kugener, et al.. (2021). Selective Modulation of a Pan-Essential Protein as a Therapeutic Strategy in Cancer. Cancer Discovery. 11(9). 2282–2299. 23 indexed citations
8.
Shahrestani, Shane, Tyler Cardinal, Alexander Micko, et al.. (2021). Neural network modeling for prediction of recurrence, progression, and hormonal non-remission in patients following resection of functional pituitary adenomas. Pituitary. 24(4). 523–529. 18 indexed citations
9.
Kim, Hyun‐Ji, Jian Carrot‐Zhang, Yuxiang Zhang, et al.. (2021). Haplotype-resolved germline and somatic alterations in renal medullary carcinomas. Genome Medicine. 13(1). 114–114. 7 indexed citations
10.
Pangal, Dhiraj J., et al.. (2021). A Guide to Annotation of Neurosurgical Intraoperative Video for Machine Learning Analysis and Computer Vision. World Neurosurgery. 150. 26–30. 23 indexed citations
11.
Donoho, Daniel A., Dhiraj J. Pangal, Guillaume Kugener, et al.. (2021). Improved surgeon performance following cadaveric simulation of internal carotid artery injury during endoscopic endonasal surgery: training outcomes of a nationwide prospective educational intervention. Journal of neurosurgery. 135(5). 1347–1355. 16 indexed citations
12.
Chan, Justin, Dhiraj J. Pangal, Tyler Cardinal, et al.. (2021). A systematic review of virtual reality for the assessment of technical skills in neurosurgery. Neurosurgical FOCUS. 51(2). E15–E15. 29 indexed citations
13.
Kugener, Guillaume, Anandh Rajamohan, & Vishal Patel. (2020). Caught in the act: Allergic-like reaction to gadolinium-based contrast agent in POEMS syndrome. SHILAP Revista de lepidopterología. 15(7). 887–890.
15.
Neggers, Jasper E., Brenton R. Paolella, Michael Rothberg, et al.. (2020). Synthetic lethal interaction between the ESCRT paralog enzymes VPS4A and VPS4B in cancers with chromosome 18q or 16q deletion. European Journal of Cancer. 138. S8–S8. 1 indexed citations
17.
Tsvetkov, Peter, Alexandre Detappe, Kai Cai, et al.. (2019). Mitochondrial metabolism promotes adaptation to proteotoxic stress. Nature Chemical Biology. 15(7). 681–689. 436 indexed citations breakdown →
18.
Neto, Ary Serpa, Guillaume Kugener, Lucas Bulgarelli, et al.. (2018). First Brazilian datathon in critical care. Revista Brasileira de Terapia Intensiva. 30(1). 6–8. 4 indexed citations
19.
McFarland, James M., Zandra V. Ho, Guillaume Kugener, et al.. (2018). Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration. Nature Communications. 9(1). 4610–4610. 218 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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