Ivan Dimitrov

3.9k citations
60 papers · 2.8k indexed · 2 hit papers · h-index 20
Topics
vaccines and immunoinformatics approaches (28 papers)Monoclonal and Polyclonal Antibodies Research (20 papers)Immunotherapy and Immune Responses (7 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Ivan Dimitrov

56 papers receiving 2.8k citations

Hit Papers

AllerTOP v.2—a server for in silico prediction of allergens201320262017202120142013250500750

Peers

Ivan Dimitrov
Comparison fields: 5 of 107
  • Molecular Biology 2.2k
  • Radiology, Nuclear Medicine and Imaging 716
  • Immunology 628
  • Infectious Diseases 556
  • Epidemiology 397
Replace Sudipto Saha with:
Sudipto Saha India
Sudheer Gupta India
Ankur Gautam India
Pallavi Kapoor India
Potjanee Srimanote Thailand
Ewald Beck Germany
Andreas Grote Germany
Xavier De Bolle Belgium
Vincenzo Enea United States
Raúl G. Barletta United States
Ivan Dimitrov relative to Sudipto Saha India Sudipto Saha's profile →
Citations per field
00.5×1.5×
Sudipto Saha · 1×
Citations per year

Countries citing papers authored by Ivan Dimitrov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Dimitrov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Dimitrov

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Dimitrov. A scholar is included among the top collaborators of Ivan Dimitrov 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 Ivan Dimitrov. Ivan Dimitrov 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 0
2 0
3 0
4 6
5 2
6 9
7 12
8 1
9 2
10 15
11 14
12 7
13 10
14 14
15 25
16 52
17 68
18
Criteria of the Choice of a Level of the Soil Tillage in Dependence of Some Physical Parameters
1
19 42
20 19

About Ivan Dimitrov

Ivan Dimitrov is a scholar working on Immunology and Allergy, Microbiology and Radiology, Nuclear Medicine and Imaging, having authored 60 papers that have together received 2.8k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (28 papers), Monoclonal and Polyclonal Antibodies Research (20 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Biotechnology (309 citations), Molecular Biology (2.2k citations) and Microbiology (195 citations). Ivan Dimitrov has collaborated with scholars based in Bulgaria, United Kingdom and United States. Frequent co-authors include Irini Doytchinova, Darren R. Flower, Ivan P. Bangov, Mariyana Atanasova, Atanas Patronov, Lyudmila Velkova, Marián Brestič, Katarína Olšovská, Svetlana Misheva and Luciano Saso. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

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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