Maximilian C. C. J. C. Ebert

959 citations
23 papers · 706 indexed · 1 hit paper · h-index 14
Topics
Protein Structure and Dynamics (5 papers)Computational Drug Discovery Methods (3 papers)Biochemical and Molecular Research (3 papers)

In The Last Decade

Maximilian C. C. J. C. Ebert

22 papers receiving 698 citations

Hit Papers

Identification of 3-chymotrypsin like protease (3CLPro) i...2021202620222024202150100150

Peers

Maximilian C. C. J. C. Ebert
Comparison fields: 5 of 106
  • Molecular Biology 364
  • Computational Theory and Mathematics 128
  • Infectious Diseases 117
  • Sensory Systems 105
  • Organic Chemistry 75
Replace Chun‐Chen Chen with:
Chun‐Chen Chen Taiwan
Sunhye Hong South Korea
Veronica Di Sarno Italy
Thomas Ryckmans United Kingdom
Elena Cichero Italy
Laura Vangeel Belgium
Stanton F. McHardy United States
Ying‐Duo Gao United States
Ranjan Kumar Nanda India
Michele Tonelli Italy
Maximilian C. C. J. C. Ebert relative to Chun‐Chen Chen Taiwan Chun‐Chen Chen's profile →
Citations per field
00.5×2.7×
Chun‐Chen Chen · 1×
Citations per year

Countries citing papers authored by Maximilian C. C. J. C. Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian C. C. J. C. Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian C. C. J. C. Ebert

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian C. C. J. C. Ebert. A scholar is included among the top collaborators of Maximilian C. C. J. C. Ebert 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 C. C. J. C. Ebert. Maximilian C. C. J. C. Ebert 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 1
2 24
3 5
4
Identification of 3-chymotrypsin like protease (3CLPro) inhibitors as potential anti-SARS-CoV-2 agentsbreakdown →
188
5 20
6 4
7 31
8 11
9 19
10 8
11 41
12 78
13 20
14 19
15 15
16 19
17 25
18 135
19 9
20
[Differentiation of two cathepsins from cod muscle].
0

About Maximilian C. C. J. C. Ebert

Maximilian C. C. J. C. Ebert is a scholar working on Sensory Systems, Molecular Medicine and Pharmacology, having authored 23 papers that have together received 706 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Sensory Systems (105 citations), Computational Theory and Mathematics (128 citations) and Pharmacology (60 citations). Maximilian C. C. J. C. Ebert has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Joelle N. Pelletier, Nobuaki Takahashi, Yasuo Mori, Daisuke Kozai, Ryohei Kobayashi, Vicky Mody, Rangaiah Shashidharamurthy, Srujana Rayalam, Guillaume Fortin and Guillaume Lamoureux. Their work appears in journals such as PLoS ONE, Biochemistry and Nature Methods.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026