Igor M. Sauer

6.1k total citations
219 papers, 4.1k citations indexed

About

Igor M. Sauer is a scholar working on Surgery, Hepatology and Oncology. According to data from OpenAlex, Igor M. Sauer has authored 219 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Surgery, 87 papers in Hepatology and 29 papers in Oncology. Recurrent topics in Igor M. Sauer's work include Organ Transplantation Techniques and Outcomes (90 papers), Liver Disease and Transplantation (51 papers) and Liver physiology and pathology (38 papers). Igor M. Sauer is often cited by papers focused on Organ Transplantation Techniques and Outcomes (90 papers), Liver Disease and Transplantation (51 papers) and Liver physiology and pathology (38 papers). Igor M. Sauer collaborates with scholars based in Germany, United States and Türkiye. Igor M. Sauer's co-authors include Johann Pratschke, Nathanael Raschzok, P. Neuhaus, Andreas Pascher, Benjamin Struecker, Gesine Pleß, Ruth Schwartländer, J Gerlach, Karl H. Hillebrandt and Simon Moosburner and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Igor M. Sauer

207 papers receiving 4.0k citations

Author Peers

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

Author Last Decade Papers Cites
Igor M. Sauer 2.4k 1.6k 704 612 500 219 4.1k
A. Joseph Tector 5.8k 2.4× 1.6k 1.0× 968 1.4× 1.0k 1.7× 810 1.6× 204 7.6k
Aileen Wee 1.1k 0.4× 1.7k 1.1× 231 0.3× 418 0.7× 1.4k 2.8× 111 3.8k
Ming‐Yang Chang 734 0.3× 442 0.3× 387 0.5× 693 1.1× 454 0.9× 178 3.8k
Michael Kim 1.1k 0.5× 893 0.6× 346 0.5× 1.0k 1.7× 1.1k 2.1× 113 4.7k
Tadashi Ikeda 1.7k 0.7× 197 0.1× 666 0.9× 1.6k 2.6× 453 0.9× 309 5.5k
Korkut Uygun 3.9k 1.6× 1.7k 1.1× 991 1.4× 584 1.0× 432 0.9× 172 4.8k
Yilei Mao 989 0.4× 937 0.6× 564 0.8× 1.1k 1.9× 838 1.7× 210 4.4k
Bo Zheng 865 0.4× 301 0.2× 259 0.4× 2.7k 4.4× 450 0.9× 204 5.3k
J. Michael DiMaio 2.5k 1.1× 246 0.2× 785 1.1× 3.2k 5.3× 847 1.7× 224 8.3k
Zu‐Hua Gao 623 0.3× 359 0.2× 256 0.4× 1.2k 1.9× 423 0.8× 143 3.3k

Countries citing papers authored by Igor M. Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Igor M. Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor M. Sauer. 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 Igor M. Sauer. The network helps show where Igor M. Sauer may publish in the future.

Co-authorship network of co-authors of Igor M. Sauer

This figure shows the co-authorship network connecting the top 25 collaborators of Igor M. Sauer. A scholar is included among the top collaborators of Igor M. Sauer 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 Igor M. Sauer. Igor M. Sauer 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.
David, Marion, Davide Monteferrario, Satish K. Tadi, et al.. (2025). Enhanced anti-tumor activity by zinc finger repressor-driven epigenetic silencing of immune checkpoints and TGFBR2 in CAR-T cells and TILs. PubMed. 33(2). 200989–200989. 1 indexed citations
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Arnold, Leggy A., Raphael Mohr, Matthäus Felsenstein, et al.. (2024). Extracellular NAD+ response to post-hepatectomy liver failure: bridging preclinical and clinical findings. Communications Biology. 7(1). 991–991.
5.
Tang, Peter, et al.. (2024). Unveiling the Multifaceted Role of CIDEB: From Apoptosis to Lipid Metabolism and Liver Health. SHILAP Revista de lepidopterología. 4(3). 406–419. 1 indexed citations
6.
Moosburner, Simon, Münevver Demir, Paul Viktor Ritschl, et al.. (2023). Validation of risk scores for allograft failure after liver transplantation in Germany: a retrospective cohort analysis. Hepatology Communications. 7(1). e0012–e0012. 10 indexed citations
7.
Elomaa, Laura, Peter Tang, Karl H. Hillebrandt, et al.. (2023). Bioactive photocrosslinkable resin solely based on refined decellularized small intestine submucosa for vat photopolymerization of in vitro tissue mimics. Additive manufacturing. 64. 103439–103439. 12 indexed citations
8.
Uluk, Deniz, Isabella Lurje, Cornelius Engelmann, et al.. (2022). Prognostic and Predictive Molecular Markers in Cholangiocarcinoma. Cancers. 14(4). 1026–1026. 29 indexed citations
9.
Felsenstein, Matthäus, Mathilde Feist, Karl H. Hillebrandt, et al.. (2022). Perineural Invasion in Pancreatic Ductal Adenocarcinoma (PDAC): A Saboteur of Curative Intended Therapies?. Journal of Clinical Medicine. 11(9). 2367–2367. 21 indexed citations
10.
Tang, Peter, Marie Weinhart, Simon Moosburner, et al.. (2021). Surface modification of decellularized bovine carotid arteries with human vascular cells significantly reduces their thrombogenicity. Journal of Biological Engineering. 15(1). 26–26. 4 indexed citations
11.
Tang, Peter, Anja Reutzel‐Selke, Simon Moosburner, et al.. (2021). In vitro recellularization of decellularized bovine carotid arteries using human endothelial colony forming cells. Journal of Biological Engineering. 15(1). 15–15. 12 indexed citations
12.
Ritschl, Paul Viktor, Tomasz Dziodzio, Maximilian Jara, et al.. (2020). The Effects of MELD-Based Liver Allocation on Patient Survival and Waiting List Mortality in a Country with a Low Donation Rate. Journal of Clinical Medicine. 9(6). 1929–1929. 8 indexed citations
13.
Feufel, Markus A., et al.. (2020). Ultrasound in augmented reality: a mixed-methods evaluation of head-mounted displays in image-guided interventions. International Journal of Computer Assisted Radiology and Surgery. 15(11). 1895–1905. 33 indexed citations
14.
Horner, Rosa, Martin Kluge, Peter Tang, et al.. (2019). Impact of Percoll purification on isolation of primary human hepatocytes. Scientific Reports. 9(1). 6542–6542. 10 indexed citations
15.
Schlickeiser, Stephan, Katrin Vogt, Christine Appelt, et al.. (2019). Killer-like receptors and GPR56 progressive expression defines cytokine production of human CD4+ memory T cells. Nature Communications. 10(1). 2263–2263. 56 indexed citations
16.
Hillebrandt, Karl H., Simon Moosburner, P Podrabský, et al.. (2019). Hepatocyte Transplantation to the Liver via the Splenic Artery in a Juvenile Large Animal Model. Cell Transplantation. 28(1_suppl). 14S–24S. 6 indexed citations
17.
Splith, Katrin, Simon Wabitsch, Georgi Atanasov, et al.. (2018). The nanomolar sensing of nicotinamide adenine dinucleotide in human plasma using a cycling assay in albumin modified simulated body fluids. Scientific Reports. 8(1). 16110–16110. 9 indexed citations
18.
Moosburner, Simon, Paul Viktor Ritschl, Duska Dragun, et al.. (2018). Prevalence of Steatosis Hepatis in the Eurotransplant Region: Impact on Graft Acceptance Rates. HPB Surgery. 2018. 1–9. 22 indexed citations
19.
Rohn, Susanne, Jan Walter Schroeder, Dietrich Polenz, et al.. (2016). Allogeneic Liver Transplantation and Subsequent Syngeneic Hepatocyte Transplantation in a Rat Model: Proof of Concept for in vivo Tissue Engineering. Cells Tissues Organs. 201(6). 399–411. 3 indexed citations
20.
Andreou, Andréas, Marcus Bahra, Benjamin Struecker, et al.. (2015). Tumor DNA Index and α-Fetoprotein Level Define Outcome following Liver Transplantation for Advanced Hepatocellular Carcinoma. European Surgical Research. 55(4). 302–318. 1 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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