Max Hübner

794 citations
27 papers · 583 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Immune cells in cancer

Papers in

    • Extracellular vesicles in disease 3
    • RNA Interference and Gene Delivery 2
    • RNA modifications and cancer 2
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 2

Max Hübner

27 papers receiving 575 citations

Peers

Max Hübner
Comparison fields: 5 of 75
  • Cancer Research 180
  • Immunology 105
  • Physiology 108
  • Endocrine and Autonomic Systems 26
  • Biological Psychiatry 9
Replace Satoshi Takabuchi with:
Satoshi Takabuchi Japan
Seunghwan Choi South Korea
Flavia R. Greiffo Brazil
José Santiago Ibáñez-Cabellos Spain
Johannes Kuhlicke Germany
Huijuan Dou United States
Seiko Oda Japan
Linyuan Wang Canada
Thomas Weissmüller Germany
Max Hübner relative to Satoshi Takabuchi Japan Satoshi Takabuchi's profile →
Citations per field
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Satoshi Takabuchi · 1×
Citations per year

Countries citing papers authored by Max Hübner

Since Specialization
Citations

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

Fields of papers citing papers by Max Hübner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201769
2 201669
3 202166
4 201449
5 201841
6 201840
7 201431
8 202426
9 201725
10 201922
11 201819
12 202018
13 201916
14 202314
15 201912
16 202011
17 201710
18 202410
19 202010
20 20226

About Max Hübner

Max Hübner is a scholar working on Molecular Biology, Cancer Research, Immunology, Physiology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 583 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Extracellular vesicles in disease (3 papers), RNA Interference and Gene Delivery (2 papers), Immune cells in cancer (2 papers), RNA modifications and cancer (2 papers), Clinical Nutrition and Gastroenterology (2 papers), Cancer-related molecular mechanisms research (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Cancer Research (180 citations), Immunology (105 citations), Physiology (108 citations), Endocrine and Autonomic Systems (26 citations) and Biological Psychiatry (9 citations). Max Hübner has collaborated with scholars based in Germany, Slovakia and Greece. Frequent co-authors include Simone Kreth, Ludwig Christian Hinske, David Effinger, Jens Heyn, Simon Hirschberger, Benjamin Luchting, Patrick Möhnle, Shahnaz Christina Azad, Gabriele Strauß and Josef Briegel. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cancers, European Journal of Immunology, Frontiers in Cardiovascular Medicine and Neuro-Oncology Advances.

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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