Ivana Blaženović

2.0k citations
22 papers · 1.4k indexed · 2 hit papers · h-index 14

Ivana Blaženović

22 papers receiving 1.4k citations

Hit Papers

Proteomics reveals NNMT as a master metabolic regulator o...3252018202620202023100200300400500

Peers

Ivana Blaženović
Comparison fields: 5 of 111
  • Spectroscopy 330
  • Molecular Biology 964
  • Cancer Research 138
  • Geriatrics and Gerontology 32
  • Biological Psychiatry 19
Replace Masahito Suiko with:
Masahito Suiko Japan
Filippos Michopoulos United Kingdom
John K. Meissen United States
Vadiraja B. Bhat United States
Soumen K. Manna India
Brian C. DeFelice United States
J. Rafael Montenegro-Burke United States
Megan R. Showalter United States
Romanas Chaleckis Japan
Ming‐Cheh Liu United States
Ivana Blaženović relative to Masahito Suiko Japan Masahito Suiko's profile →
Citations per field
00.5×1.5×2.5×
Masahito Suiko · 1×
Citations per year

Countries citing papers authored by Ivana Blaženović

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Blaženović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202138
2 202128
3 202110
4 202116
5 202017
6 202019
7 201913
8 201931
9 201936
10
Proteomics reveals NNMT as a master metabolic regulator of cancer-associated fibroblastsbreakdown →
2019325
11 2019129
12 20191
13 20198
14
Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomicsbreakdown →
2018522
15 201822
16 201811
17 201858
18 201710
19 201786
20 20123

About Ivana Blaženović

Ivana Blaženović is a scholar working on Metals and Alloys, Spectroscopy and Cancer Research, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Analytical Chemistry and Chromatography (5 papers), Mycotoxins in Agriculture and Food (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Birth, Development, and Health (2 papers), Diet and metabolism studies (2 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Spectroscopy (330 citations), Molecular Biology (964 citations) and Cancer Research (138 citations). Ivana Blaženović has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Oliver Fiehn, Tobias Kind, Jian Ji, Sajjan S. Mehta, Matthias Mann, Fabian Coscia, Ernst Lengyel, Dieter Jahn, Mark A. Eckert and Raymond E. Moellering. Their work appears in journals such as Analytical Chemistry, Molecular Nutrition & Food Research, Scientific Reports, Food and Chemical Toxicology and Nature Communications.

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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