Irena Đapić

521 total citations
23 papers, 381 citations indexed

About

Irena Đapić is a scholar working on Molecular Biology, Spectroscopy and Dermatology. According to data from OpenAlex, Irena Đapić has authored 23 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Spectroscopy and 5 papers in Dermatology. Recurrent topics in Irena Đapić's work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (6 papers) and Dermatology and Skin Diseases (5 papers). Irena Đapić is often cited by papers focused on Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (6 papers) and Dermatology and Skin Diseases (5 papers). Irena Đapić collaborates with scholars based in Poland, United Kingdom and Croatia. Irena Đapić's co-authors include Ivone Jakaša, Sanja Kežić, Garry L. Corthals, David R. Goodlett, Arthur Kammeyer, Sachin Kote, Jesper Kers, Artur Piróg, Javier A. Alfaro and Ying Zhu and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Frontiers in Immunology.

In The Last Decade

Irena Đapić

22 papers receiving 378 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Irena Đapić Poland 13 182 158 93 49 42 23 381
I. Pernet France 9 85 0.5× 11 0.1× 139 1.5× 44 0.9× 63 1.5× 13 329
Takahiro Suzuki Japan 12 209 1.1× 39 0.2× 9 0.1× 11 0.2× 46 1.1× 32 440
Shengjie Bian South Korea 8 142 0.8× 16 0.1× 12 0.1× 5 0.1× 21 0.5× 10 359
Diana M. Smith United States 8 278 1.5× 209 1.3× 6 0.1× 6 0.1× 63 1.5× 9 479
Peter Bowden Canada 17 402 2.2× 327 2.1× 2 0.0× 23 0.5× 24 0.6× 29 536
Joe Nguyen United States 10 144 0.8× 6 0.0× 25 0.3× 5 0.1× 34 0.8× 20 296
Kerstin Schäfer Germany 10 177 1.0× 23 0.1× 2 0.0× 37 0.8× 64 1.5× 14 372
Ekaterina L. Knyazeva Russia 8 227 1.2× 19 0.1× 6 0.1× 14 0.3× 14 0.3× 8 340
Rolf Hackler Germany 10 194 1.1× 48 0.3× 4 0.0× 45 0.9× 40 1.0× 15 411
Ko‐Chien Chen Taiwan 7 415 2.3× 33 0.2× 2 0.0× 13 0.3× 57 1.4× 10 492

Countries citing papers authored by Irena Đapić

Since Specialization
Citations

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

Fields of papers citing papers by Irena Đapić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irena Đapić

This figure shows the co-authorship network connecting the top 25 collaborators of Irena Đapić. A scholar is included among the top collaborators of Irena Đapić 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 Irena Đapić. Irena Đapić 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
1.
Zhao, Bing–Qiao, Emanuela Esposito, Ted R. Hupp, et al.. (2025). Selective regulation and cellular metabolism by the lactate transporter MCT4 in GBM. Medical Oncology. 42(11). 497–497.
2.
Hewelt-Belka, Weronika, Natalia Kordulewska, Lilit Hovhannisyan, et al.. (2024). Keratinocyte-derived small extracellular vesicles supply antigens for CD1a-resticted T cells and promote their type 2 bias in the context of filaggrin insufficiency. Frontiers in Immunology. 15. 1369238–1369238. 3 indexed citations
3.
Goodlett, David R., et al.. (2024). Mass Spectrometry Advances in Analysis of Glioblastoma. Mass Spectrometry Reviews. 44(4). 630–664. 1 indexed citations
4.
Kote, Sachin, Jakub Faktor, Paul M. Brennan, et al.. (2022). DIA-MS proteome analysis of formalin-fixed paraffin-embedded glioblastoma tissues. Analytica Chimica Acta. 1204. 339695–339695. 17 indexed citations
5.
Đapić, Irena, et al.. (2022). Evaluation of Fast and Sensitive Proteome Profiling of FF and FFPE Kidney Patient Tissues. Molecules. 27(3). 1137–1137. 14 indexed citations
6.
Piróg, Artur, Jakub Faktor, Zuzanna Urban‐Wójciuk, et al.. (2021). Comparison of different digestion methods for proteomic analysis of isolated cells and FFPE tissue samples. Talanta. 233. 122568–122568. 16 indexed citations
7.
Singh, A. Jonathan, Javier A. Alfaro, Ted R. Hupp, et al.. (2021). MicroPOTS Analysis of Barrett’s Esophageal Cell Line Models Identifies Proteomic Changes after Physiologic and Radiation Stress. Journal of Proteome Research. 20(5). 2195–2205. 9 indexed citations
8.
Padariya, Monikaben, Sachin Kote, Irena Đapić, et al.. (2021). Structural determinants of peptide-dependent TAP1-TAP2 transit passage targeted by viral proteins and altered by cancer-associated mutations. Computational and Structural Biotechnology Journal. 19. 5072–5091. 10 indexed citations
9.
Kote, Sachin, Artur Piróg, Georges Bedran, Javier A. Alfaro, & Irena Đapić. (2020). Mass Spectrometry-Based Identification of MHC-Associated Peptides. Cancers. 12(3). 535–535. 31 indexed citations
10.
Đapić, Irena, et al.. (2019). Proteome analysis of tissues by mass spectrometry. Mass Spectrometry Reviews. 38(4-5). 403–441. 34 indexed citations
11.
Kote, Sachin, Jakub Faktor, Irena Đapić, et al.. (2019). Analysis of venom sac constituents from the solitary, aculeate wasp Cerceris rybyensis. Toxicon. 169. 1–4. 5 indexed citations
12.
Đapić, Irena, et al.. (2019). Characterization of Ceramides with Phytosphingosine Backbone by Hydrogen-deuterium Exchange Mass Spectrometry. Croatica Chemica Acta. 92(3). 411–417. 6 indexed citations
13.
Jong, Luitzen de, Winfried Roseboom, Martin J. Wanner, et al.. (2017). In-Culture Cross-Linking of Bacterial Cells Reveals Large-Scale Dynamic Protein–Protein Interactions at the Peptide Level. Journal of Proteome Research. 16(7). 2457–2471. 32 indexed citations
14.
Wouters, Bert, et al.. (2017). A cyclic-olefin-copolymer microfluidic immobilized-enzyme reactor for rapid digestion of proteins from dried blood spots. Journal of Chromatography A. 1491. 36–42. 22 indexed citations
15.
Đapić, Irena, et al.. (2017). Fast and Simple Protocols for Mass Spectrometry-Based Proteomics of Small Fresh Frozen Uterine Tissue Sections. Analytical Chemistry. 89(20). 10769–10775. 18 indexed citations
16.
Đapić, Irena, et al.. (2017). Quantification of free fatty acids in human stratum corneum using tandem mass spectrometry and surrogate analyte approach. Biomedical Chromatography. 32(2). 12 indexed citations
17.
18.
Đapić, Irena, et al.. (2013). Evaluation of an HPLC Method for the Determination of Natural Moisturizing Factors in the Human Stratum Corneum. Analytical Letters. 46(14). 2133–2144. 63 indexed citations
19.
Đapić, Irena & Davor Kovačević. (2011). Electrokinetic Study of Bovine Serum Albumin Adsorption on Previously Formed PAH/PSS Multilayer. Croatica Chemica Acta. 84(2). 185–191. 3 indexed citations
20.
Đapić, Irena, et al.. (2009). Adsorption of bovine serum albumin on previously formed PAH/PSS multilayer: A stagnation point optical reflectometry study. Colloids and Surfaces B Biointerfaces. 76(1). 305–310. 6 indexed citations

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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