Connor J. Liu

23 total papers · 1.2k total citations
9 papers, 344 citations indexed

About

Connor J. Liu is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Connor J. Liu has authored 9 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Connor J. Liu's work include Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Glioma Diagnosis and Treatment (2 papers). Connor J. Liu is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Glioma Diagnosis and Treatment (2 papers). Connor J. Liu collaborates with scholars based in United States and India. Connor J. Liu's co-authors include Christopher A. Miller, Elaine R. Mardis, Gavin P. Dunn, Tanner M. Johanns, Dale K. Kobayashi, Yang-Yang Feng, William E. Gillanders, Obi L. Griffith, Susanna Kiwala and Malachi Griffith and has published in prestigious journals such as Nature Genetics, Scientific Reports and Neuro-Oncology.

In The Last Decade

Connor J. Liu

9 papers receiving 335 citations

Author Peers

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

Author Last Decade Papers Cites
Connor J. Liu 240 200 160 68 57 9 344
Ulrike Schoetz 155 0.6× 116 0.6× 122 0.8× 38 0.6× 19 0.3× 9 319
Julia M. Laufer 202 0.8× 144 0.7× 116 0.7× 37 0.5× 16 0.3× 9 348
Nicholas Papadopoulos 156 0.7× 235 1.2× 138 0.9× 27 0.4× 21 0.4× 11 327
George J.A. ten Bosch 262 1.1× 146 0.7× 155 1.0× 32 0.5× 35 0.6× 8 383
Barath Shreeder 279 1.2× 277 1.4× 76 0.5× 36 0.5× 13 0.2× 8 378
Colin Snyder 181 0.8× 203 1.0× 127 0.8× 26 0.4× 16 0.3× 11 375
Michael C. Zahner 143 0.6× 101 0.5× 79 0.5× 25 0.4× 30 0.5× 8 301
Sandy Larson 148 0.6× 169 0.8× 133 0.8× 38 0.6× 20 0.4× 12 402
A Boudewijn 131 0.5× 106 0.5× 114 0.7× 30 0.4× 71 1.2× 10 381
Gage Brummer 134 0.6× 149 0.7× 96 0.6× 51 0.8× 9 0.2× 8 333

Countries citing papers authored by Connor J. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Connor J. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connor J. Liu

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