Milan Nikolić

1.2k total citations
67 papers, 897 citations indexed

About

Milan Nikolić is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Milan Nikolić has authored 67 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 11 papers in Cell Biology and 9 papers in Physiology. Recurrent topics in Milan Nikolić's work include Hemoglobin structure and function (9 papers), Protein Interaction Studies and Fluorescence Analysis (7 papers) and Synthesis and biological activity (6 papers). Milan Nikolić is often cited by papers focused on Hemoglobin structure and function (9 papers), Protein Interaction Studies and Fluorescence Analysis (7 papers) and Synthesis and biological activity (6 papers). Milan Nikolić collaborates with scholars based in Serbia, Croatia and South Korea. Milan Nikolić's co-authors include Dragana Stanić-Vučinić, Tanja Ćirković Veličković, Simeon Minić, Vesna Niketić, Danijela Apostolović, Ivana Prodić, Mihajlo Spasić, Miloš Milčić, Srđan Đ. Stojanović and Čedo Miljević and has published in prestigious journals such as PLoS ONE, Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Milan Nikolić

60 papers receiving 888 citations

Peers

Milan Nikolić
Comparison fields: 5 of 106
  • Molecular Biology 362
  • Oncology 156
  • Food Science 143
  • Organic Chemistry 113
  • Physiology 105
Replace Ewa Langner with:
Ewa Langner Poland
Klaus Stolze Austria
Stéphane Ransac France
Kenichiro Todoroki Japan
T. Arakawa Japan
Carl Bernofsky United States
Matthias Bureik Germany
Huang Jinling China
Yuxi Lin South Korea
Mohammad Mahfuzul Haque United States
Ewa Langner Poland View profile →
Citations per field, relative to Milan Nikolić
Milan Nikolić · 1×
Citations per year, relative to Milan Nikolić
Milan Nikolić · 1×

Countries citing papers authored by Milan Nikolić

Since Specialization
Citations

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

Fields of papers citing papers by Milan Nikolić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Nikolić

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Nikolić. A scholar is included among the top collaborators of Milan Nikolić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Milan Nikolić. Milan Nikolić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 4
4 0
5 4
6 0
7 2
8 7
9 22
10 9
11 1
12 1
13 5
14 2
15 6
16 3
17 3
18 7
19
Sensitivity to transforming growth factor beta 1-induced growth arrest is common in human squamous cell carcinoma cell lines: c-MYC down-regulation and p21waf1 induction are important early events.
53
20 68

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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