Maxim Kebenko

797 total citations
30 papers, 609 citations indexed

About

Maxim Kebenko is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maxim Kebenko has authored 30 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Oncology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maxim Kebenko's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Phagocytosis and Immune Regulation (6 papers). Maxim Kebenko is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Phagocytosis and Immune Regulation (6 papers). Maxim Kebenko collaborates with scholars based in Germany, United States and Spain. Maxim Kebenko's co-authors include Walter Fiedler, Angelika Harneit, Joachim M. Weitzel, M. Wolf, Ruth Seggewiss‐Bernhardt, Barbara Ritter, Sabine Stienen, Michael Heuser, Matthias Friedrich and Annette Hasenburg and has published in prestigious journals such as Journal of Clinical Oncology, Blood and International Journal of Molecular Sciences.

In The Last Decade

Maxim Kebenko

29 papers receiving 591 citations

Peers

Maxim Kebenko
Comparison fields: 5 of 63
  • Oncology 265
  • Molecular Biology 243
  • Immunology 165
  • Hematology 135
  • Radiology, Nuclear Medicine and Imaging 102
Replace Claude Clément with:
Claude Clément France
Amber C. Donahue United States
Lynett Danks United Kingdom
Françoise Sainteny France
Caroline Choi United States
Patrycja Pawlikowska France
Harmen van Andel Netherlands
Ivana Catacchio Italy
Stéphane Flamant France
Claude Clément France View profile →
Citations per field, relative to Maxim Kebenko
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Citations per year, relative to Maxim Kebenko
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Countries citing papers authored by Maxim Kebenko

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Kebenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Kebenko

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Kebenko. A scholar is included among the top collaborators of Maxim Kebenko 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 Maxim Kebenko. Maxim Kebenko 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 1
2 0
3 1
4 1
5 8
6 18
7 1
8 7
9 1
10 18
11 2
12 73
13 3
14 82
15 41
16 18
17 33
18 10
19 12
20 80

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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