Tea Dodig‐Crnković

30 total papers · 1.2k total citations
12 papers, 217 citations indexed

About

Tea Dodig‐Crnković is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tea Dodig‐Crnković has authored 12 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tea Dodig‐Crnković's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Biosensing Techniques and Applications (4 papers) and Receptor Mechanisms and Signaling (4 papers). Tea Dodig‐Crnković is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Biosensing Techniques and Applications (4 papers) and Receptor Mechanisms and Signaling (4 papers). Tea Dodig‐Crnković collaborates with scholars based in Sweden, United States and Norway. Tea Dodig‐Crnković's co-authors include Jochen M. Schwenk, Sheng‐ce Tao, Ziqing Chen, Mathias Uhlén, Thomas P. Sakmar, Thomas Huber, Emilie Ceraudo, Roger A. Vaughan, Elisa Pin and Cecilia Hellström and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Science Advances.

In The Last Decade

Tea Dodig‐Crnković

12 papers receiving 214 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tea Dodig‐Crnković	145	49	38	34	34	12	217
Ulrike Leurs	226 1.6×	25 0.5×	30 0.8×	15 0.4×	16 0.5×	20	313
Burcu Ayoglu	157 1.1×	17 0.3×	75 2.0×	22 0.6×	23 0.7×	12	236
Kalle von Feilitzen	141 1.0×	17 0.3×	27 0.7×	12 0.4×	16 0.5×	8	205
Amir Rahbar	206 1.4×	34 0.7×	23 0.6×	35 1.0×	13 0.4×	12	307
Joseph V. Bondi	104 0.7×	29 0.6×	27 0.7×	11 0.3×	12 0.4×	13	313
Joerg Kriegsmann	107 0.7×	25 0.5×	12 0.3×	14 0.4×	19 0.6×	17	208
Dario Caccia	181 1.2×	15 0.3×	11 0.3×	19 0.6×	36 1.1×	12	329
Parishmita Sarma	157 1.1×	77 1.6×	24 0.6×	13 0.4×	38 1.1×	14	225
Katelyn Smith	196 1.4×	20 0.4×	20 0.5×	24 0.7×	9 0.3×	11	320
Ann L. Griffith	91 0.6×	29 0.6×	15 0.4×	118 3.5×	29 0.9×	23	297

Countries citing papers authored by Tea Dodig‐Crnković

Since Specialization

Citations

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

Fields of papers citing papers by Tea Dodig‐Crnković

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tea Dodig‐Crnković. 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 Tea Dodig‐Crnković. The network helps show where Tea Dodig‐Crnković may publish in the future.

Co-authorship network of co-authors of Tea Dodig‐Crnković

This figure shows the co-authorship network connecting the top 25 collaborators of Tea Dodig‐Crnković. A scholar is included among the top collaborators of Tea Dodig‐Crnković 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 Tea Dodig‐Crnković. Tea Dodig‐Crnković is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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