Maja Matić

40 papers receiving 1.0k citations

Peers

Maja Matić
Comparison fields: 5 of 85
  • Urology 151
  • Developmental Neuroscience 84
  • Anesthesiology and Pain Medicine 104
  • Pharmacology 75
  • Transplantation 19
Replace Melanie Müller with:
Melanie Müller Germany
David Krisky United States
Alexander Jacob United States
Maelig Morvan United States
Tijana Martinov United States
Irina V Kaplan United States
Minoru Hojo Japan
Xueli Fan China
Susan Meyers United States
Maja Matić relative to Melanie Müller Germany Melanie Müller's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maja Matić

Since Specialization
Citations

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

Fields of papers citing papers by Maja Matić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003298
2 1997166
3 200265
4 202149
5
Alterations in connexin expression and cell communication in healing corneal epithelium.
199746
6 201734
7 199134
8 202133
9 201428
10 201427
11 201824
12 199224
13 201623
14 201621
15 201721
16 201717
17 201615
18 200815
19 201613
20 201611

About Maja Matić

Maja Matić is a scholar working on Molecular Biology, Anesthesiology and Pain Medicine, Immunology, Pediatrics, Perinatology and Child Health and Cell Biology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pain Management and Opioid Use (5 papers), Renal Transplantation Outcomes and Treatments (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Connexins and lens biology (3 papers), Immune Response and Inflammation (3 papers), Cancer Genomics and Diagnostics (2 papers), Corneal Surgery and Treatments (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Urology (151 citations), Developmental Neuroscience (84 citations), Anesthesiology and Pain Medicine (104 citations), Pharmacology (75 citations) and Transplantation (19 citations). Maja Matić has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Lingna Li, Robert M. Hoffman, Sheldon Penman, John Mignone, Grigori Enikolopov, Meng Yang, J. Mario Wolosin, Ron H. N. van Schaik, Sanford R. Simon and S. Dan Dimitrijevich. Their work appears in journals such as Pharmacogenomics, Clinical Pharmacokinetics, Therapeutic Drug Monitoring, Journal of Applied Microbiology and Journal of Clinical Psychopharmacology.

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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