G. Bernhardt

1.3k citations
29 papers · 947 · h-index 17

Impact in

  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Metal complexes synthesis and properties
    • Receptor Mechanisms and Signaling

Papers in

G. Bernhardt

28 papers receiving 925 citations

Peers

G. Bernhardt
Comparison fields: 5 of 105
  • Oncology 316
  • Molecular Biology 461
  • Cellular and Molecular Neuroscience 111
  • Structural Biology 8
  • Biomaterials 63
Replace Aidong Wang with:
Aidong Wang China
Robert H. Newman United States
Miroslava Protić United States
Andreas Katopodis Switzerland
Shuji Yamashita Japan
Megan J. Maher Australia
Sigurd M. Wilbanks New Zealand
Matthew K. Robinson United States
William R. Hargreaves United States
Angelika Hoffmann Germany
G. Bernhardt relative to Aidong Wang China Aidong Wang's profile →
Citations per field
00.5×3.1×
Aidong Wang · 1×
Citations per year

Countries citing papers authored by G. Bernhardt

Since Specialization
Citations

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

Fields of papers citing papers by G. Bernhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018260
2 198488
3 200361
4 200455
5 201942
6 198841
7 200039
8 200738
9 200736
10 200230
11 201429
12 198828
13 199126
14 201625
15 201524
16 200123
17 201621
18 199713
19 201412
20 199112

About G. Bernhardt

G. Bernhardt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Organic Chemistry and Immunology, having authored 29 papers that have together received 947 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Mast cells and histamine (4 papers), Neuropeptides and Animal Physiology (3 papers), Organometallic Complex Synthesis and Catalysis (2 papers), Cancer Treatment and Pharmacology (2 papers), Nanoplatforms for cancer theranostics (2 papers), Neuroscience and Neural Engineering (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Oncology (316 citations), Molecular Biology (461 citations), Cellular and Molecular Neuroscience (111 citations), Structural Biology (8 citations) and Biomaterials (63 citations). G. Bernhardt has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Armin Buschauer, Rainer Jaenicke, Karl O. Stetter, Ruth Knuechel, Henri Brunner, Christian Lottner, Stefanie Bauer, Kaspar P. Locher, Karl‐Heinz Altmann and Scott M. Jackson. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Applied and Environmental Microbiology, Pharmacological Research, European Journal of Pharmaceutical Sciences and Cancer Letters.

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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