Scot D. Liu

702 total citations
8 papers, 549 citations indexed

About

Scot D. Liu is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Scot D. Liu has authored 8 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Scot D. Liu's work include Signaling Pathways in Disease (4 papers), Immune Cell Function and Interaction (3 papers) and Galectins and Cancer Biology (3 papers). Scot D. Liu is often cited by papers focused on Signaling Pathways in Disease (4 papers), Immune Cell Function and Interaction (3 papers) and Galectins and Cancer Biology (3 papers). Scot D. Liu collaborates with scholars based in United States, France and Sweden. Scot D. Liu's co-authors include M. Carrie Miceli, Melissa J. Spencer, Elena Kudryashova, Encarnacion Montecino‐Rodriguez, Irina Kramerova, Sylvia Vetrone, Eric P. Hoffman, Françoise Poirier, M. Carrie Miceli and Tamar Tomassian and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Scot D. Liu

8 papers receiving 538 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Scot D. Liu United States	7	370	231	77	60	57	8	549
Aslıhan Karabacak Calviello Germany	5	392 1.1×	184 0.8×	184 2.4×	53 0.9×	53 0.9×	6	719
Leanne Glover United Kingdom	5	208 0.6×	420 1.8×	78 1.0×	50 0.8×	61 1.1×	5	746
P. De Waele Belgium	14	350 0.9×	103 0.4×	79 1.0×	23 0.4×	39 0.7×	26	607
Faiza Naz United States	8	302 0.8×	263 1.1×	50 0.6×	16 0.3×	41 0.7×	15	559
Donatello Castellana Spain	9	521 1.4×	158 0.7×	144 1.9×	88 1.5×	28 0.5×	9	816
Motokazu Tsuneto Japan	13	309 0.8×	138 0.6×	85 1.1×	22 0.4×	75 1.3×	37	530
Julia Etich Germany	16	276 0.7×	70 0.3×	42 0.5×	51 0.8×	37 0.6×	25	557
Sarika Saraswati United States	13	357 1.0×	95 0.4×	74 1.0×	31 0.5×	117 2.1×	17	603
Ana Estecha Spain	8	163 0.4×	215 0.9×	154 2.0×	74 1.2×	21 0.4×	9	484
Shoko Onodera Japan	15	319 0.9×	189 0.8×	65 0.8×	18 0.3×	73 1.3×	45	652

Countries citing papers authored by Scot D. Liu

Since Specialization

Citations

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

Fields of papers citing papers by Scot D. Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scot D. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Scot D. Liu. A scholar is included among the top collaborators of Scot D. 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 Scot D. Liu. Scot D. 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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8 of 8 papers shown

1.

Duramad, Omar, et al.. (2020). Assessment of Human Natural Killer Cell Events Driven by FcγRIIIa Engagement in the Presence of Therapeutic Antibodies. Journal of Visualized Experiments. 1 indexed citations

2.

McCleland, Mark L., Scot D. Liu, Jonathan H. Esensten, et al.. (2015). Cdk8 deletion in the Apc^Min murine tumour model represses EZH2 activity and accelerates tumourigenesis. The Journal of Pathology. 237(4). 508–519. 51 indexed citations

3.

Liu, Scot D., Cécile Chalouni, Judy Young, et al.. (2014). Afucosylated Antibodies Increase Activation of FcγRIIIa-Dependent Signaling Components to Intensify Processes Promoting ADCC. Cancer Immunology Research. 3(2). 173–183. 51 indexed citations

4.

Tomassian, Tamar, Lisa A. Humphries, Scot D. Liu, et al.. (2011). Caveolin-1 Orchestrates TCR Synaptic Polarity, Signal Specificity, and Function in CD8 T Cells. The Journal of Immunology. 187(6). 2993–3002. 45 indexed citations

5.

Liu, Scot D., Tamar Tomassian, Kevin W. Bruhn, et al.. (2009). Galectin-1 Tunes TCR Binding and Signal Transduction to Regulate CD8 Burst Size. The Journal of Immunology. 182(9). 5283–5295. 37 indexed citations

6.

Vetrone, Sylvia, Encarnacion Montecino‐Rodriguez, Elena Kudryashova, et al.. (2009). Osteopontin promotes fibrosis in dystrophic mouse muscle by modulating immune cell subsets and intramuscular TGF-β. Journal of Clinical Investigation. 119(6). 1583–1594. 238 indexed citations

7.

Motrán, Claudia Cristina, et al.. (2008). Galectin‐1 functions as a Th2 cytokine that selectively induces Th1 apoptosis and promotes Th2 function. European Journal of Immunology. 38(11). 3015–3027. 84 indexed citations

8.

Liu, Scot D., Chan C. Whiting, Tamar Tomassian, et al.. (2008). Endogenous galectin-1 enforces class I–restricted TCR functional fate decisions in thymocytes. Blood. 112(1). 120–130. 42 indexed citations

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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