Maximilian Schmeding

1.6k citations
54 papers · 985 indexed · h-index 21
Topics
Organ Transplantation Techniques and Outcomes (17 papers)Liver Disease and Transplantation (16 papers)Liver Disease Diagnosis and Treatment (13 papers)
Journals
SHILAP Revista de lepidopterologíaHepatologySpine

In The Last Decade

Maximilian Schmeding

50 papers receiving 976 citations

Peers

Maximilian Schmeding
Comparison fields: 5 of 87
  • Hepatology 552
  • Surgery 497
  • Epidemiology 325
  • Oncology 159
  • Transplantation 147
Replace Tadahiro Uemura with:
Tadahiro Uemura United States
Ari Cohen United States
Sabine Boas‐Knoop Germany
Gianluca Mennini Italy
Éric Savier France
Hajime Uchida Japan
Oliver Drognitz Germany
Willem J. Van der Werf United States
Gaetano Vetrone Italy
Vinay Kumaran India
Maximilian Schmeding relative to Tadahiro Uemura United States Tadahiro Uemura's profile →
Citations per field
00.5×1.6×
Tadahiro Uemura · 1×
Citations per year

Countries citing papers authored by Maximilian Schmeding

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Schmeding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Schmeding

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Schmeding. A scholar is included among the top collaborators of Maximilian Schmeding 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 Maximilian Schmeding. Maximilian Schmeding 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
#WorkIndexed citations
1 0
2 1
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4 2
5 4
6 3
7 15
8 7
9 4
10 28
11 23
12 8
13 12
14 7
15 16
16 10
17 25
18 14
19 13
20 23

About Maximilian Schmeding

Maximilian Schmeding is a scholar working on Hepatology, Transplantation and Microbiology, having authored 54 papers that have together received 985 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (17 papers), Liver Disease and Transplantation (16 papers) and Liver Disease Diagnosis and Treatment (13 papers). The work is most often cited by research in Hepatology (552 citations), Transplantation (147 citations) and Surgery (497 citations). Maximilian Schmeding has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Ulf P. Neumann, P. Neuhaus, Marcus Bahra, Christoph Heidenhain, R. Neuhaus, Antonino Spinelli, Sabine Boas‐Knoop, P. Neuhaus, Patrick H. Alizai and Christian Trautwein. Their work appears in journals such as SHILAP Revista de lepidopterología, Hepatology and Spine.

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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