Max Jacobsen

639 citations
21 papers · 412 · h-index 12

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Neurological diseases and metabolism
    • Amyotrophic Lateral Sclerosis Research

Papers in

Max Jacobsen

21 papers receiving 409 citations

Peers

Max Jacobsen
Comparison fields: 5 of 70
  • Cancer Research 85
  • Neurology 31
  • Molecular Biology 257
  • Neurology 48
  • Cell Biology 46
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Changying Fu China
Eve Jary Australia
Paul Coleman Australia
Manisha Juneja Germany
Amy C. Ladd United States
Gabriel N. Valbuena United Kingdom
Peipei Gong China
Yasmine Nadler United States
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Quanping Su China
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Citations per field
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Citations per year

Countries citing papers authored by Max Jacobsen

Since Specialization
Citations

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

Fields of papers citing papers by Max Jacobsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Max Jacobsen, 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 Max Jacobsen Line = papers co-authored together Max Jacobsen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202056
2 201748
3 202246
4 202438
5 201837
6 201929
7 202023
8 201921
9 201720
10 201817
11
Multivariate analysis of risk factors in patients with metastatic testicular germ cell tumors treated with vinblastine and bleomycin.
198215
12 202115
13 201910
14 202110
15 20229
16 20216
17 20206
18 20242
19
Ketotifen Modulates Mast Cell Chemotaxis to Kit-Ligand, but Does Not Impact Mast Cell Numbers, Degranulation, or Tumor Behavior in Neurofibromas of Nf1-Deficient Mice
20192
20
[Tumor markers in germ cell tumors. Clinical use and research aspects].
19821

About Max Jacobsen

Max Jacobsen is a scholar working on Molecular Biology, Oncology, Cancer Research, Neurology and Surgery, having authored 21 papers that have together received 412 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Prion Diseases and Protein Misfolding (3 papers), Cancer, Lipids, and Metabolism (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Microtubule and mitosis dynamics (2 papers) and Neurological diseases and metabolism (2 papers). The work is most often cited by research in Cancer Research (85 citations), Neurology (31 citations), Molecular Biology (257 citations), Neurology (48 citations) and Cell Biology (46 citations). Max Jacobsen has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include George E. Sandusky, Kavita Shah, Keith Viccaro, Kumar Nikhil, Anna Maria Storniolo, Yunlong Liu, Jun Wan, Bernardino Ghetti, Sheng Liu and Holly J. Garringer. Their work appears in journals such as Acta Neuropathologica, Molecular Cancer Therapeutics, Clinical Cancer Research, Scientific Reports and Health Physics.

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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