Maximilian Richter

1.1k total citations
18 papers, 923 citations indexed

About

Maximilian Richter is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Maximilian Richter has authored 18 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Genetics and 8 papers in Oncology. Recurrent topics in Maximilian Richter's work include Virus-based gene therapy research (11 papers), CAR-T cell therapy research (8 papers) and Extracellular vesicles in disease (6 papers). Maximilian Richter is often cited by papers focused on Virus-based gene therapy research (11 papers), CAR-T cell therapy research (8 papers) and Extracellular vesicles in disease (6 papers). Maximilian Richter collaborates with scholars based in United States, Germany and France. Maximilian Richter's co-authors include Gregor Fuhrmann, Pieter Vader, André Lieber, Robert Strauss, Chae‐Ok Yun, Kathrin Fuhrmann, Roma Yumul, Kamola Saydaminova, Marcus Koch and Wolfgang Frieß and has published in prestigious journals such as Blood, Analytical Chemistry and Advanced Drug Delivery Reviews.

In The Last Decade

Maximilian Richter

18 papers receiving 918 citations

Peers

Maximilian Richter
Comparison fields: 5 of 86
  • Molecular Biology 670
  • Genetics 290
  • Oncology 215
  • Cancer Research 157
  • Biomedical Engineering 120
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Ines Beyer Germany
Sarah Hale United Kingdom
Jeroen de Vrij Netherlands
Zhenguo Cheng China
Kerstin B. Kaufmann Germany
Rita Cabral Portugal
Anne‐Laure Bolcato‐Bellemin France
JinWoo Hong South Korea
Aparajita Khatri Australia
Mark Stevenson United Kingdom
Ines Beyer Germany View profile →
Citations per field, relative to Maximilian Richter
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Citations per year, relative to Maximilian Richter
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Countries citing papers authored by Maximilian Richter

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Richter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Richter

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 41
2 1
3 4
4 178
5 91
6 24
7 7
8 73
9 26
10 39
11 19
12 84
13 32
14 50
15 33
16 143
17 32
18 46

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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