Suhu Liu

1.9k total citations
34 papers, 1.4k citations indexed

About

Suhu Liu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Suhu Liu has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Immunology. Recurrent topics in Suhu Liu's work include Immunotherapy and Immune Responses (5 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Acute Myeloid Leukemia Research (4 papers). Suhu Liu is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Acute Myeloid Leukemia Research (4 papers). Suhu Liu collaborates with scholars based in United States, China and Brazil. Suhu Liu's co-authors include Adam I. Riker, Paul Howell, Øystein Fodstad, Suping Ren, David A. Frank, Rajeev S. Samant, Lalita A. Shevde, Brandon J. Metge, Sarah R. Walker and Jennifer Yeh and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Suhu Liu

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suhu Liu United States 18 946 476 333 287 94 34 1.4k
Arianna Sabò Italy 19 1.5k 1.6× 430 0.9× 300 0.9× 269 0.9× 91 1.0× 25 1.9k
Nino Keshelava United States 19 914 1.0× 454 1.0× 293 0.9× 134 0.5× 69 0.7× 33 1.4k
Csaba Mahotka Germany 22 1.4k 1.5× 517 1.1× 220 0.7× 350 1.2× 70 0.7× 46 1.7k
Steven A. Enkemann United States 18 783 0.8× 414 0.9× 246 0.7× 185 0.6× 96 1.0× 31 1.3k
Wei-Lei Yang United States 11 1.1k 1.2× 403 0.8× 360 1.1× 185 0.6× 52 0.6× 11 1.5k
Jessamy Tiffen Australia 21 1.3k 1.3× 599 1.3× 393 1.2× 388 1.4× 121 1.3× 40 1.8k
Gabriëla Wright United States 15 636 0.7× 450 0.9× 195 0.6× 268 0.9× 82 0.9× 20 1.1k
Vanessa Baeriswyl Switzerland 12 728 0.8× 452 0.9× 190 0.6× 150 0.5× 52 0.6× 14 1.1k
Makiko Kawaguchi Japan 22 559 0.6× 312 0.7× 195 0.6× 318 1.1× 94 1.0× 72 1.3k
Shi-Yong Sun United States 14 1.2k 1.3× 382 0.8× 189 0.6× 202 0.7× 62 0.7× 16 1.5k

Countries citing papers authored by Suhu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Suhu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Suhu Liu. A scholar is included among the top collaborators of Suhu 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 Suhu Liu. Suhu Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Verghese, Abraham, et al.. (2024). Prospective Study of CLL1 and CD45RA As Biomarkers of Leukemic Stem Cells to Predict Therapeutic Response in Acute Myeloid Leukemia. Blood. 144(Supplement 1). 6105–6105. 1 indexed citations
2.
3.
Chen, Chun-Hau, Swati S. Bhasin, Ruchi Saxena, et al.. (2019). Study of Cathepsin B inhibition in VEGFR TKI treated human renal cell carcinoma xenografts. Oncogenesis. 8(3). 15–15. 20 indexed citations
4.
Egusquiaguirre, Susana P., Suhu Liu, Sarah R. Walker, et al.. (2019). CDK5RAP3 is a co-factor for the oncogenic transcription factor STAT3. Neoplasia. 22(1). 47–59. 14 indexed citations
5.
Egusquiaguirre, Susana P., Jennifer Yeh, Sarah R. Walker, Suhu Liu, & David A. Frank. (2018). The STAT3 Target Gene TNFRSF1A Modulates the NF-κB Pathway in Breast Cancer Cells. Neoplasia. 20(5). 489–498. 59 indexed citations
6.
Liu, Suhu, Anna E. Marneth, Gabriela Alexe, et al.. (2018). The kinases IKBKE and TBK1 regulate MYC-dependent survival pathways through YB-1 in AML and are targets for therapy. Blood Advances. 2(23). 3428–3442. 22 indexed citations
7.
Liu, Suhu, Sarah R. Walker, Erik A. Nelson, et al.. (2014). Targeting STAT5 in Hematologic Malignancies through Inhibition of the Bromodomain and Extra-Terminal (BET) Bromodomain Protein BRD2. Molecular Cancer Therapeutics. 13(5). 1194–1205. 51 indexed citations
8.
Liu, Suhu. (2014). The evaporation from irrigation channels estimated by energy balance method in the middle reaches of the Heihe River. Journal of Glaciology and Geocryology. 1 indexed citations
9.
Liu, Suhu, Paul Howell, & Adam I. Riker. (2012). Up-Regulation of miR-182 Expression after Epigenetic Modulation of Human Melanoma Cells. Annals of Surgical Oncology. 20(5). 1745–1752. 36 indexed citations
10.
Metge, Brandon J., Suhu Liu, Adam I. Riker, et al.. (2010). Elevated Osteopontin Levels in Metastatic Melanoma Correlate with Epigenetic Silencing of Breast Cancer Metastasis Suppressor 1. Oncology. 78(1). 75–86. 15 indexed citations
11.
Wang, Yixiang, Soroosh Radfar, Suhu Liu, Adam I. Riker, & Hung T. Khong. (2010). Mitf-Mdel, a novel melanocyte/melanoma-specific isoform of microphthalmia-associated transcription factor-M, as a candidate biomarker for melanoma. BMC Medicine. 8(1). 14–14. 15 indexed citations
12.
Ren, Suping, Suhu Liu, Paul Howell, et al.. (2009). Functional characterization of the progestagen‐associated endometrial protein gene in human melanoma. Journal of Cellular and Molecular Medicine. 14(6b). 1432–1442. 20 indexed citations
13.
Das, Shamik, Brandon J. Metge, Suhu Liu, et al.. (2009). The Hedgehog Pathway Transcription Factor GLI1 Promotes Malignant Behavior of Cancer Cells by Up-regulating Osteopontin. Journal of Biological Chemistry. 284(34). 22888–22897. 98 indexed citations
14.
Liu, Suhu, Paul Howell, Suping Ren, Øystein Fodstad, & Adam I. Riker. (2009). The 14-3-3σ gene promoter is methylated in both human melanocytes and melanoma. BMC Cancer. 9(1). 162–162. 6 indexed citations
15.
Liu, Suhu, Suping Ren, Paul Howell, Øystein Fodstad, & Adam I. Riker. (2008). Identification of novel epigenetically modified genes in human melanoma via promoter methylation gene profiling. Pigment Cell & Melanoma Research. 21(5). 545–558. 104 indexed citations
16.
Riker, Adam I., Steven A. Enkemann, Øystein Fodstad, et al.. (2008). The gene expression profiles of primary and metastatic melanoma yields a transition point of tumor progression and metastasis. BMC Medical Genomics. 1(1). 13–13. 410 indexed citations
17.
Liu, Suhu. (2007). Dynamics characteristics analysis of long-span self-anchored suspension bridge. Shanxi Architecture. 1 indexed citations
18.
Zhang, Wanggang, Fangxia Wang, Yinxia Chen, et al.. (2007). Combination chemotherapy with low‐dose cytarabine, homoharringtonine, and granulocyte colony‐stimulating factor priming in patients with relapsed or refractory acute myeloid leukemia. American Journal of Hematology. 83(3). 185–188. 26 indexed citations
19.
Liu, Suhu, Mei Zhang, & Wanggang Zhang. (2005). Strategies of Antigen-Specific T-Cell–Based Immunotherapy for Cancer. Cancer Biotherapy and Radiopharmaceuticals. 20(5). 491–501. 9 indexed citations
20.

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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