Mateja Condic

907 citations
30 papers · 692 · h-index 12

Impact in

Papers in

Mateja Condic

29 papers receiving 680 citations

Peers

Mateja Condic
Comparison fields: 5 of 88
  • Developmental Neuroscience 69
  • Immunology and Allergy 86
  • Biological Psychiatry 32
  • Cellular and Molecular Neuroscience 230
  • Cell Biology 141
Replace Marina Kitamura with:
Marina Kitamura United States
Kristopher D. Marjon United States
Petra Breiden Germany
Tarja Kinnunen Finland
Christian Jacobson Canada
Allen Wensky United States
Catalina Ruiz‐Cañada United States
David Lo United States
Christine Chatellard-Causse France
Hitoki Hasegawa Japan
Mateja Condic relative to Marina Kitamura United States Marina Kitamura's profile →
Citations per field
00.5×10.8×
Marina Kitamura · 1×
Citations per year

Countries citing papers authored by Mateja Condic

Since Specialization
Citations

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

Fields of papers citing papers by Mateja Condic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997161
2 2016104
3 1991104
4 201742
5 200640
6 200240
7 200339
8 202220
9 200719
10 201414
11 201314
12 201911
13 202211
14 200711
15 202310
16 20209
17 20027
18 20227
19 20236
20 20236

About Mateja Condic

Mateja Condic is a scholar working on Molecular Biology, Cancer Research, Reproductive Medicine, Surgery and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 692 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Cell Adhesion Molecules Research (5 papers), Ovarian cancer diagnosis and treatment (5 papers), Axon Guidance and Neuronal Signaling (4 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Developmental Neuroscience (69 citations), Immunology and Allergy (86 citations), Biological Psychiatry (32 citations), Cellular and Molecular Neuroscience (230 citations) and Cell Biology (141 citations). Mateja Condic has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Paul C. Letourneau, Michele L. Lemons, D Fristrom, James W. Fristrom, Lauren R. Strachan, Timo Jan Oberstein, Martin Herrmann, Philipp Spitzer, Johannes Kornhuber and Juan Manuel Maler. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Journal of Clinical Medicine, Anticancer Research, Cancers and Experimental Neurology.

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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