Benno Traub

592 citations
20 papers · 307 · h-index 9

Impact in

    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • Pancreatic and Hepatic Oncology Research 6
    • Cancer Cells and Metastasis 3
    • Cancer-related Molecular Pathways 3
    • Melanoma and MAPK Pathways 3

Benno Traub

19 papers receiving 303 citations

Peers

Benno Traub
Comparison fields: 5 of 60
  • Oncology 156
  • Immunology 86
  • Cancer Research 54
  • Molecular Biology 126
  • Pulmonary and Respiratory Medicine 48
Replace André Jefremow with:
André Jefremow Germany
Zhaoying Yao China
Ahui Fan China
V. R. Rozados Argentina
Sarah McCuaig Canada
Yunzhou Pu China
Guangxi Zhao China
Bok‐Soon Lee South Korea
Weiwei Ning China
Marko Kornmann Germany
Benno Traub relative to André Jefremow Germany André Jefremow's profile →
Citations per field
00.5×
André Jefremow · 1×
Citations per year

Countries citing papers authored by Benno Traub

Since Specialization
Citations

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

Fields of papers citing papers by Benno Traub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benno Traub, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benno Traub Line = papers co-authored together Benno Traub links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202367
2 202156
3 202152
4 202132
5 201717
6 202114
7 202012
8 202211
9 20239
10 20218
11 20215
12 20225
13 20205
14 20244
15 20213
16 20222
17 20212
18 20232
19 20241
20 20220

About Benno Traub

Benno Traub is a scholar working on Oncology, Molecular Biology, Surgery, Pathology and Forensic Medicine and Immunology, having authored 20 papers that have together received 307 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Cancer Mechanisms and Therapy (4 papers), Melanoma and MAPK Pathways (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Cancer Cells and Metastasis (3 papers), Cancer-related Molecular Pathways (3 papers), Parasitic infections in humans and animals (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Oncology (156 citations), Immunology (86 citations), Cancer Research (54 citations), Molecular Biology (126 citations) and Pulmonary and Respiratory Medicine (48 citations). Benno Traub has collaborated with scholars based in Germany and China. Frequent co-authors include Marko Kornmann, Jingwei Shi, Xujun Song, Marko Kornmann, K.H. Link, Doris Henne‐Bruns, Uwe Knippschild, Johannes Lemke, Xiaodong Tian and Yongsu Ma. Their work appears in journals such as International Journal of Molecular Sciences, Anticancer Research, BJS Open, Biomedicines and Seminars in Cancer Biology.

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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