Daniel Bojar

2.4k citations
39 papers · 1.5k indexed · 2 hit papers · h-index 15
Topics
Glycosylation and Glycoproteins Research (20 papers)Genomics and Phylogenetic Studies (15 papers)Machine Learning in Bioinformatics (7 papers)

In The Last Decade

Daniel Bojar

37 papers receiving 1.5k citations

Hit Papers

Designer exosomes produced by implanted cells intracerebr...201820262020202320182022100200300400500

Peers

Daniel Bojar
Comparison fields: 5 of 114
  • Molecular Biology 1.3k
  • Cancer Research 292
  • Biomedical Engineering 149
  • Immunology 139
  • Organic Chemistry 133
Replace Chaoyang Li with:
Chaoyang Li China
Xue Pei United Kingdom
David R. Corey United States
Hongtao Chen China
S. Dharap United States
Robert Janowski Germany
Harry Wischnewski Switzerland
Giuseppe Fiume Italy
Anabel Sorolla Spain
Daniel Bojar relative to Chaoyang Li China Chaoyang Li's profile →
Citations per field
00.5×2.8×
Chaoyang Li · 1×
Citations per year

Countries citing papers authored by Daniel Bojar

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bojar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Bojar

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Bojar. A scholar is included among the top collaborators of Daniel Bojar 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 Daniel Bojar. Daniel Bojar 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 2
2 2
3 26
4 1
5 1
6 7
7 13
8 1
9 11
10 30
11 5
12 18
13 15
14 109
15 3
16
Designer exosomes produced by implanted cells intracerebrally deliver therapeutic cargo for Parkinson’s disease treatmentbreakdown →
585
17 58
18 8
19 13
20 51

About Daniel Bojar

Daniel Bojar is a scholar working on Molecular Biology, Genetics and Organic Chemistry, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (20 papers), Genomics and Phylogenetic Studies (15 papers) and Machine Learning in Bioinformatics (7 papers). The work is most often cited by research in Cancer Research (292 citations), Molecular Biology (1.3k citations) and Immunology (139 citations). Daniel Bojar has collaborated with scholars based in Sweden, Switzerland and United States. Frequent co-authors include Martin Fussenegger, Ghislaine Charpin‐El Hamri, Pratik Saxena, Giorgio Rizzi, Kelly R. Tan, Ryosuke Kojima, Simon Ausländer, Marie Daoud El‐Baba, Martin Fussenegger and Leo Scheller. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences 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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