Vanio Mitev

6.9k citations
166 papers · 2.1k · h-index 24

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Neurology top 5%
    • Neurological disorders and treatments
    • Botulinum Toxin and Related Neurological Disorders
    • Parkinson's Disease Mechanisms and Treatments

Papers in

    • Protein Kinase Regulation and GTPase Signaling 9
    • Melanoma and MAPK Pathways 7
    • Inflammasome and immune disorders 7
    • Metabolism, Diabetes, and Cancer 5

Vanio Mitev

149 papers receiving 2.0k citations

Peers

Vanio Mitev
Comparison fields: 5 of 125
  • Cancer Research 204
  • Neurology 202
  • Biochemistry 97
  • Molecular Biology 887
  • Cellular and Molecular Neuroscience 197
Replace Stefano De Cillà with:
Stefano De Cillà Italy
Xiaoguang Liu China
Richard D. Unwin United Kingdom
Olaf Maier Netherlands
Yi‐Chao Lee Taiwan
Valentina Gatti Italy
T. Örd United States
Cláudia Piccoli Italy
M. Sikorska Canada
Joseph A. Erhardt United States
Vanio Mitev relative to Stefano De Cillà Italy Stefano De Cillà's profile →
Citations per field
00.5×4.9×
Stefano De Cillà · 1×
Citations per year

Countries citing papers authored by Vanio Mitev

Since Specialization
Citations

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

Fields of papers citing papers by Vanio Mitev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008254
2 2014101
3 200592
4 200382
5 201358
6 201551
7 200747
8 201046
9 201345
10 200841
11 201440
12 199940
13 200937
14
Saponins from Tribulus terrestris L are less toxic for normal human fibroblasts than for many cancer lines: influence on apoptosis and proliferation.
200737
15 201336
16 201635
17 200632
18 199832
19 201331
20 201529

About Vanio Mitev

Vanio Mitev is a scholar working on Molecular Biology, Genetics, Cell Biology, Oncology and Immunology, having authored 166 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Amino Acid Enzymes and Metabolism (8 papers), Skin and Cellular Biology Research (8 papers), Melanoma and MAPK Pathways (7 papers), Inflammasome and immune disorders (7 papers), Genetic factors in colorectal cancer (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Cancer Research (204 citations), Neurology (202 citations), Biochemistry (97 citations), Molecular Biology (887 citations) and Cellular and Molecular Neuroscience (197 citations). Vanio Mitev has collaborated with scholars based in Bulgaria, Belgium and France. Frequent co-authors include Vladimir Neychev, Valentin Lozanov, Radka Kaneva, Ellen J. Hess, H. A. Jinnah, Xionglin Fan, Nikolai Zhelev, A. Mitkova, Ivaylo P. Ivanov and Yves Poumay. Their work appears in journals such as ZooKeys, Clinical Genetics, Biochemical and Biophysical Research Communications, Journal of Applied Microbiology and DNA and Cell 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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