Martin Treder

952 citations
33 papers · 642 indexed · h-index 14
Topics
Monoclonal and Polyclonal Antibodies Research (21 papers)CAR-T cell therapy research (14 papers)Immune Cell Function and Interaction (13 papers)

In The Last Decade

Martin Treder

30 papers receiving 618 citations

Peers

Martin Treder
Comparison fields: 5 of 62
  • Oncology 351
  • Immunology 283
  • Molecular Biology 251
  • Radiology, Nuclear Medicine and Imaging 205
  • Hematology 77
Replace Geir Åge Løset with:
Geir Åge Løset Norway
Diana Paola Granados Canada
Armelle Goubard France
Wim J.E. van Esch Netherlands
György Stuber Sweden
Jochen Beninga Germany
Sean C. Yoder United States
Rajesh Vij United States
Jianping Yang New Zealand
Boris Brill Germany
Martin Treder relative to Geir Åge Løset Norway Geir Åge Løset's profile →
Citations per field
00.5×2.9×
Geir Åge Løset · 1×
Citations per year

Countries citing papers authored by Martin Treder

Since Specialization
Citations

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

Fields of papers citing papers by Martin Treder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Treder

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Treder. A scholar is included among the top collaborators of Martin Treder 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 Martin Treder. Martin Treder 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 4
2 0
3 1
4 104
5 2
6 6
7 25
8 46
9 3
10 4
11 1
12 2
13 1
14 1
15 17
16
Fully human Anti-HER3 monoclonal antibodies (mAbs) have unique in vitro and in vivo functional and antitumor activities versus other HER family inhibitors
19
17
Fully human Anti-HER3 monoclonal antibodies (mAbs) inhibit oncogenic signaling and tumor cell growth in vitro and in vivo
14
18 15
19 45
20 156

About Martin Treder

Martin Treder is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Immunology, having authored 33 papers that have together received 642 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (21 papers), CAR-T cell therapy research (14 papers) and Immune Cell Function and Interaction (13 papers). The work is most often cited by research in Immunology (283 citations), Oncology (351 citations) and Radiology, Nuclear Medicine and Imaging (205 citations). Martin Treder has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Uwe Reusch, Axel Ullrich, Joachim Koch, Erich Rajkovic, Axel Choidas, Thorsten Gantke, Karl Drlica, Anil Koul, Akhilesh K. Tyagi and Yogendra Singh. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer Research.

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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