Ta Jen Liu

9 total papers · 810 total citations
9 papers, 651 citations indexed

About

Ta Jen Liu is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Ta Jen Liu has authored 9 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Genetics. Recurrent topics in Ta Jen Liu's work include Virus-based gene therapy research (4 papers), Cancer Research and Treatments (4 papers) and Cancer-related Molecular Pathways (3 papers). Ta Jen Liu is often cited by papers focused on Virus-based gene therapy research (4 papers), Cancer Research and Treatments (4 papers) and Cancer-related Molecular Pathways (3 papers). Ta Jen Liu collaborates with scholars based in United States. Ta Jen Liu's co-authors include Gary L. Clayman, Jack A. Roth, Wei Wei Zhang, Adel K. El‐Naggar, Helmuth Goepfert, Dorothy Taylor, John de Groot, W.K. Alfred Yung, Gregory N. Fuller and W. K. Alfred Yung and has published in prestigious journals such as Molecular and Cellular Biology, Cancer Research and Molecular Cancer Therapeutics.

In The Last Decade

Ta Jen Liu

9 papers receiving 635 citations

Author Peers

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

Author						Papers	Cites
Ta Jen Liu	371	260	198	144	113	9	651
Ewa Missol‐Kolka	382 1.0×	225 0.9×	70 0.4×	42 0.3×	127 1.1×	12	640
Ari Ristimäki	470 1.3×	328 1.3×	116 0.6×	31 0.2×	229 2.0×	13	780
Ta-Jen Liu	566 1.5×	231 0.9×	82 0.4×	39 0.3×	143 1.3×	16	785
Ludmila Ageyeva	290 0.8×	177 0.7×	181 0.9×	85 0.6×	123 1.1×	9	626
Elínborg Ostermann	403 1.1×	318 1.2×	74 0.4×	31 0.2×	98 0.9×	13	765
Akihito Inagaki	284 0.8×	337 1.3×	164 0.8×	67 0.5×	118 1.0×	18	677
Christina Manley	437 1.2×	182 0.7×	62 0.3×	49 0.3×	214 1.9×	13	631
Patrick W. Hein	361 1.0×	243 0.9×	88 0.4×	24 0.2×	141 1.2×	8	677
Seunguk Oh	289 0.8×	265 1.0×	91 0.5×	80 0.6×	69 0.6×	13	564
Marie‐Hélène Laprise	486 1.3×	135 0.5×	82 0.4×	31 0.2×	174 1.5×	7	782

Countries citing papers authored by Ta Jen Liu

Since Specialization

Citations

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

Fields of papers citing papers by Ta Jen Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ta Jen Liu. 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 Ta Jen Liu. The network helps show where Ta Jen Liu may publish in the future.

Co-authorship network of co-authors of Ta Jen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ta Jen Liu. A scholar is included among the top collaborators of Ta Jen Liu 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 Ta Jen Liu. Ta Jen Liu 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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