Tamara Tripic

19 total papers · 795 total citations
9 papers, 594 citations indexed

About

Tamara Tripic is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Tamara Tripic has authored 9 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Tamara Tripic's work include Cytomegalovirus and herpesvirus research (3 papers), Viral-associated cancers and disorders (2 papers) and Immune Cell Function and Interaction (2 papers). Tamara Tripic is often cited by papers focused on Cytomegalovirus and herpesvirus research (3 papers), Viral-associated cancers and disorders (2 papers) and Immune Cell Function and Interaction (2 papers). Tamara Tripic collaborates with scholars based in United States. Tamara Tripic's co-authors include Gerd A. Blobel, Wulan Deng, Ying Zhang, Ross C. Hardison, Yong Cheng, Cliona M. Rooney, Christopher R. Vakoc, Gregory D. Gregory, Catherine M. Bollard and Carolina Colli Cruz and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Biochemical and Biophysical Research Communications.

In The Last Decade

Tamara Tripic

9 papers receiving 586 citations

Author Peers

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

Author						Papers	Cites
Tamara Tripic	334	221	162	103	89	9	594
M Crawford	288 0.9×	184 0.8×	217 1.3×	71 0.7×	129 1.4×	10	678
Sherly Mosessian	422 1.3×	143 0.6×	75 0.5×	61 0.6×	84 0.9×	12	624
Daniel P. Sejas	476 1.4×	124 0.6×	85 0.5×	67 0.7×	146 1.6×	10	641
Amélie Benoit de Coignac	209 0.6×	216 1.0×	339 2.1×	123 1.2×	40 0.4×	10	670
Wesley J. Woollard	349 1.0×	96 0.4×	125 0.8×	271 2.6×	176 2.0×	6	644
De-Hui Ku	511 1.5×	160 0.7×	87 0.5×	98 1.0×	121 1.4×	12	688
Tatjana Kilo	213 0.6×	111 0.5×	114 0.7×	114 1.1×	237 2.7×	10	571
Warren S. Alexander	151 0.5×	205 0.9×	402 2.5×	65 0.6×	75 0.8×	8	678
Dazhong Zhuang	427 1.3×	135 0.6×	145 0.9×	82 0.8×	54 0.6×	12	639
Taihe Lu	439 1.3×	331 1.5×	102 0.6×	264 2.6×	124 1.4×	15	684

Countries citing papers authored by Tamara Tripic

Since Specialization

Citations

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

Fields of papers citing papers by Tamara Tripic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Tripic

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Tripic. A scholar is included among the top collaborators of Tamara Tripic 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 Tamara Tripic. Tamara Tripic 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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