Robert W. Hsieh

17 total papers · 2.6k total citations
8 papers, 1.4k citations indexed

About

Robert W. Hsieh is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Robert W. Hsieh has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Genetics. Recurrent topics in Robert W. Hsieh's work include Estrogen and related hormone effects (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Cancer Cells and Metastasis (2 papers). Robert W. Hsieh is often cited by papers focused on Estrogen and related hormone effects (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Cancer Cells and Metastasis (2 papers). Robert W. Hsieh collaborates with scholars based in United States, France and Spain. Robert W. Hsieh's co-authors include Ferenc A. Scheeren, Neethan A. Lobo, Maider Zabala, Michael F. Clarke, Dalong Qian, Shang Cai, Angera H. Kuo, Frederick M. Dirbas, Gunsagar S. Gulati and Anoop Manjunath and has published in prestigious journals such as Science, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Robert W. Hsieh

8 papers receiving 1.4k citations

Hit Papers

Single-cell transcription... 2020 2026 2022 2024 2020 2022 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Robert W. Hsieh 647 605 432 233 220 8 1.4k
Sandra Cristea 888 1.4× 899 1.5× 338 0.8× 204 0.9× 172 0.8× 9 1.5k
David S.M. Lee 663 1.0× 707 1.2× 592 1.4× 208 0.9× 413 1.9× 11 1.5k
Amanda Kulick 507 0.8× 631 1.0× 486 1.1× 215 0.9× 157 0.7× 13 1.5k
Anthony Venida 521 0.8× 465 0.8× 657 1.5× 119 0.5× 197 0.9× 6 1.3k
Massimo Ammirante 823 1.3× 626 1.0× 816 1.9× 301 1.3× 284 1.3× 15 1.7k
Elisa Rivas 999 1.5× 451 0.7× 567 1.3× 178 0.8× 255 1.2× 7 1.4k
Merav Darash‐Yahana 562 0.9× 572 0.9× 496 1.1× 195 0.8× 160 0.7× 19 1.4k
Marsela Braunstein 445 0.7× 633 1.0× 318 0.7× 136 0.6× 372 1.7× 15 1.4k
Tiffany K. Ricks 773 1.2× 540 0.9× 433 1.0× 198 0.8× 161 0.7× 21 1.7k
Hiro Shimada 541 0.8× 688 1.1× 304 0.7× 118 0.5× 371 1.7× 14 1.7k

Countries citing papers authored by Robert W. Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Robert W. Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert W. Hsieh. 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 Robert W. Hsieh. The network helps show where Robert W. Hsieh may publish in the future.

Co-authorship network of co-authors of Robert W. Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Robert W. Hsieh. A scholar is included among the top collaborators of Robert W. Hsieh 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 Robert W. Hsieh. Robert W. Hsieh 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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