D. Vidović

4.3k citations
28 papers · 1.4k indexed · h-index 15
Topics
Computational Drug Discovery Methods (4 papers)Protein Tyrosine Phosphatases (4 papers)Galectins and Cancer Biology (4 papers)

In The Last Decade

D. Vidović

26 papers receiving 1.4k citations

Peers

D. Vidović
Comparison fields: 5 of 98
  • Molecular Biology 822
  • Immunology 341
  • Physiology 215
  • Oncology 160
  • Computational Theory and Mathematics 144
Replace Zhulun Wang with:
Zhulun Wang United States
Rubén D. Garcia-Ordoñez United States
Supriya Jayadev United States
Mi Ra Chang United States
Anthony D. Couvillon United States
David Yowe United States
Xu Bai United States
Mark J. Anderton United Kingdom
Allan S. Wagman United States
Edward F. Webb United States
D. Vidović relative to Zhulun Wang United States Zhulun Wang's profile →
Citations per field
00.5×1.6×
Zhulun Wang · 1×
Citations per year

Countries citing papers authored by D. Vidović

Since Specialization
Citations

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

Fields of papers citing papers by D. Vidović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Vidović

This figure shows the co-authorship network connecting the top 25 collaborators of D. Vidović. A scholar is included among the top collaborators of D. Vidović 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 D. Vidović. D. Vidović 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
#WorkIndexed citations
1 1
2 0
3 15
4 4
5 50
6 3
7 2
8 90
9 16
10 25
11 51
12 4
13
Exploratory computational assessment of possible binding modes for small molecule inhibitors of the CD40-CD154 co-stimulatory interaction.
5
14 419
15 1
16 26
17 8
18 24
19 33
20 8

About D. Vidović

D. Vidović is a scholar working on Information Systems and Management, Virology and Immunology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Protein Tyrosine Phosphatases (4 papers) and Galectins and Cancer Biology (4 papers). The work is most often cited by research in Immunology (341 citations), Molecular Biology (822 citations) and Endocrine and Autonomic Systems (77 citations). D. Vidović has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include Stephan C. Schürer, Patrick R. Griffin, Theodore M. Kamenecka, Scott A. Busby, Laura A. Solt, Monica A. Istrate, Yongjun Wang, Philippe Nuhant, Paul D. Drew and William Roush. Their work appears in journals such as Nature, Nucleic Acids Research and The Science of The Total Environment.

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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