Markus Guba

11.9k total citations · 3 hit papers
194 papers, 8.5k citations indexed

About

Markus Guba is a scholar working on Surgery, Hepatology and Oncology. According to data from OpenAlex, Markus Guba has authored 194 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Surgery, 70 papers in Hepatology and 59 papers in Oncology. Recurrent topics in Markus Guba's work include Organ Transplantation Techniques and Outcomes (52 papers), Liver Disease and Transplantation (44 papers) and Renal Transplantation Outcomes and Treatments (37 papers). Markus Guba is often cited by papers focused on Organ Transplantation Techniques and Outcomes (52 papers), Liver Disease and Transplantation (44 papers) and Renal Transplantation Outcomes and Treatments (37 papers). Markus Guba collaborates with scholars based in Germany, United States and China. Markus Guba's co-authors include Christiane J. Bruns, Karl‐Walter Jauch, Christopher Heeschen, Patrick Hermann, Stephan Huber, Tanja Herrler, Alexandra Aicher, Joachim W. Ellwart, Edward K. Geissler and Markus Steinbauer and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Markus Guba

186 papers receiving 8.3k citations

Hit Papers

Distinct Populations of Cancer Stem Cells Determine Tumor... 2002 2026 2010 2018 2007 2002 2021 500 1000 1.5k 2.0k

Peers

Markus Guba
Comparison fields: 5 of 142
  • Oncology 3.8k
  • Molecular Biology 3.0k
  • Surgery 2.0k
  • Epidemiology 1.3k
  • Hepatology 1.3k
Replace Takenori Ochiai with:
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Takenori Ochiai Japan View profile →
Citations per field, relative to Markus Guba
Markus Guba · 1×
Citations per year, relative to Markus Guba
Markus Guba · 1×

Countries citing papers authored by Markus Guba

Since Specialization
Citations

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

Fields of papers citing papers by Markus Guba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Guba

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Guba. A scholar is included among the top collaborators of Markus Guba 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 Markus Guba. Markus Guba 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
# Work Indexed citations
1 0
2 0
3 4
4 4
5 1
6 0
7 2
8 3
9 1
10 2
11 9
12 17
13
Shipping of split-livers results in a higher retransplantation rate but does not affect overall patient's survival : an analysis from the Eurotransplant liver follow-up registry
1
14 2
15 18
16 11
17
Pankreaskarzinom im hohen Alter: Leitlinien und individualisierte Therapie
1
18 9
19 44
20 166

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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