Moritz von Rechenberg

2.8k citations
12 papers · 2.1k indexed · 1 hit paper · h-index 9
Topics
Bacterial Genetics and Biotechnology (5 papers)Ubiquitin and proteasome pathways (2 papers)Monoclonal and Polyclonal Antibodies Research (2 papers)

In The Last Decade

Moritz von Rechenberg

12 papers receiving 2.1k citations

Hit Papers

RAS–RAF–MEK-dependent oxidative cell death involving volt...200720262013201920074008001.2k

Peers

Moritz von Rechenberg
Comparison fields: 5 of 94
  • Molecular Biology 1.5k
  • Pulmonary and Respiratory Medicine 875
  • Cancer Research 652
  • Genetics 490
  • Ecology 231
Replace Genshi Zhao with:
Genshi Zhao United States
Intisar Husain United States
Jeyanthy Eswaran United Kingdom
Christopher Korch United States
Shuang Liu China
Robb E. Moses United States
Alan A. Dombkowski United States
Hung‐Yi Wu Taiwan
Zhigang Guo China
Moritz von Rechenberg relative to Genshi Zhao United States Genshi Zhao's profile →
Citations per field
00.5×10×16.5×
Genshi Zhao · 1×
Citations per year

Countries citing papers authored by Moritz von Rechenberg

Since Specialization
Citations

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

Fields of papers citing papers by Moritz von Rechenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moritz von Rechenberg. 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 Moritz von Rechenberg. The network helps show where Moritz von Rechenberg may publish in the future.

Co-authorship network of co-authors of Moritz von Rechenberg

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 23
2 293
3
RAS–RAF–MEK-dependent oxidative cell death involving voltage-dependent anion channelsbreakdown →
1301
4 149
5 30
6 16
7 90
8 3
9 5
10 1
11 146
12 61

About Moritz von Rechenberg

Moritz von Rechenberg is a scholar working on Molecular Medicine, Genetics and Molecular Biology, having authored 12 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Ubiquitin and proteasome pathways (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cancer Research (652 citations), Molecular Medicine (149 citations) and Pulmonary and Respiratory Medicine (875 citations). Moritz von Rechenberg has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include John M. Peltier, Sudhir Sahasrabudhe, J. Jay Boniface, Brent R. Stockwell, Stephen L. Lessnick, Richard A. Smith, Adam J. Wolpaw, Elma Zaganjor, Wan Seok Yang and Daniel J. Fridman. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

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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