Mick Burkhardt

1.2k citations
16 papers · 976 · h-index 13

Impact in

    • MicroRNA in disease regulation
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Peptidase Inhibition and Analysis

Papers in

Mick Burkhardt

16 papers receiving 959 citations

Peers

Mick Burkhardt
Comparison fields: 5 of 88
  • Cancer Research 160
  • Oncology 218
  • Cell Biology 112
  • Molecular Biology 444
  • Immunology and Allergy 27
Replace Ian D. Tonks with:
Ian D. Tonks Australia
Angela Russo United States
David M. Nanus United States
Claudio Raimondi United Kingdom
Jian Guan China
Moon-Kyoung Bae South Korea
KangAe Lee United States
Jimmy K. Stauffer United States
Stephan Ryser Switzerland
Evelyn Aranda United States
Mick Burkhardt relative to Ian D. Tonks Australia Ian D. Tonks's profile →
Citations per field
00.5×1.5×
Ian D. Tonks · 1×
Citations per year

Countries citing papers authored by Mick Burkhardt

Since Specialization
Citations

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

Fields of papers citing papers by Mick Burkhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2005187
2 2005146
3 2000107
4 2006104
5 200699
6 200772
7 200349
8 200649
9 200440
10 200035
11 200627
12 200719
13 200619
14 199011
15 20069
16 20063

About Mick Burkhardt

Mick Burkhardt is a scholar working on Molecular Biology, Physiology, Pathology and Forensic Medicine, Cancer Research and Genetics, having authored 16 papers that have together received 976 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Prostate Cancer Treatment and Research (1 paper), Lung Cancer Research Studies (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Adenosine and Purinergic Signaling (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (160 citations), Oncology (218 citations), Cell Biology (112 citations), Molecular Biology (444 citations) and Immunology and Allergy (27 citations). Mick Burkhardt has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Glen Kristiansen, Manfred Dietel, Carsten Denkert, Tserenchunt Gansukh, Stefan Pahl, Klaus Jung, Anja Dankof, Monika Jung, Stefan A. Loening and Carsten Stephan. Their work appears in journals such as Clinical Cancer Research, The Prostate, Biochemical Pharmacology, European Urology and Journal of Biological Chemistry.

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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