Daniel Baltrukonis

651 citations
15 papers · 274 · h-index 7

Impact in

Papers in

    • Biosimilars and Bioanalytical Methods 10
    • Immunotherapy and Immune Responses 1
    • Protein purification and stability 3
    • Advanced Biosensing Techniques and Applications 3
    • Natural product bioactivities and synthesis 1

Daniel Baltrukonis

14 papers receiving 265 citations

Peers

Daniel Baltrukonis
Comparison fields: 5 of 54
  • Immunology 102
  • Radiology, Nuclear Medicine and Imaging 63
  • Molecular Biology 130
  • Endocrinology, Diabetes and Metabolism 27
  • Rheumatology 14
Replace Shuyan Sheng with:
Shuyan Sheng China
Guiying Sun China
Jiao Sun Japan
Keith Le United States
Martine Piechaczyk France
Wenjie Zuo China
Shangwen Dong China
Sharifeh Khosravi Iran
Joanna Pastwińska Poland
Lynne C. Olds United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Baltrukonis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Baltrukonis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201585
2 201862
3 201330
4 201029
5 201119
6 202319
7 20197
8 20066
9 20205
10 20184
11 20194
12 20192
13 20241
14 20251
15 20250

About Daniel Baltrukonis

Daniel Baltrukonis is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pharmacology and Biomedical Engineering, having authored 15 papers that have together received 274 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (10 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Protein purification and stability (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Diabetes Management and Research (1 paper), Natural product bioactivities and synthesis (1 paper), CAR-T cell therapy research (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (102 citations), Radiology, Nuclear Medicine and Imaging (63 citations), Molecular Biology (130 citations), Endocrinology, Diabetes and Metabolism (27 citations) and Rheumatology (14 citations). Daniel Baltrukonis has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Krischan J Hudson, Roberto A. Calle, Veena Somayaji, Jennifer Dong, Michelle I. Rossulek, Martha Hernandez‐Illas, Yali Liang, Deborah Finco, Boris Gorovits and Michael S. Vincent. Their work appears in journals such as The AAPS Journal, BioDrugs, British Journal of Clinical Pharmacology, Diabetes Obesity and Metabolism and Clinical & Experimental Immunology.

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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