Angela Su

731 total citations
11 papers, 277 citations indexed

About

Angela Su is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Angela Su has authored 11 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Hematology. Recurrent topics in Angela Su's work include Acute Lymphoblastic Leukemia research (3 papers), Acute Myeloid Leukemia Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). Angela Su is often cited by papers focused on Acute Lymphoblastic Leukemia research (3 papers), Acute Myeloid Leukemia Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). Angela Su collaborates with scholars based in United States, Italy and France. Angela Su's co-authors include Kimberly Stegmaier, Giovanni Roti, Andrew L. Kung, Kenneth N. Ross, Kostandin V. Pajcini, Jon C. Aster, Michele Markstein, Warren S. Pear, Stephen C. Blacklow and Norbert Perrimon and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Nature Cell Biology.

In The Last Decade

Angela Su

9 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Angela Su United States	7	169	48	44	39	37	11	277
Russell D. Owen United States	12	162 1.0×	15 0.3×	28 0.6×	7 0.2×	15 0.4×	18	340
Chad M. Wolf United States	6	277 1.6×	54 1.1×	61 1.4×	12 0.3×	8 0.2×	7	362
Fabiana Zolea Italy	14	198 1.2×	21 0.4×	63 1.4×	54 1.4×	25 0.7×	14	436
Nisha Tapryal United States	11	257 1.5×	63 1.3×	50 1.1×	47 1.2×	8 0.2×	16	392
Aren Boulet Canada	10	383 2.3×	186 3.9×	57 1.3×	29 0.7×	9 0.2×	14	560
Patrick W. Turk United States	7	397 2.3×	32 0.7×	29 0.7×	7 0.2×	31 0.8×	9	545
Stephen H.K. Wong United States	12	458 2.7×	37 0.8×	81 1.8×	210 5.4×	66 1.8×	14	601
Lobna Elkhadragy United States	10	158 0.9×	62 1.3×	49 1.1×	14 0.4×	4 0.1×	19	261
F Bonanni Italy	6	104 0.6×	35 0.7×	33 0.8×	35 0.9×	8 0.2×	15	184

Countries citing papers authored by Angela Su

Since Specialization

Citations

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

Fields of papers citing papers by Angela Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Su

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Lin, Shan, Constanze Schneider, Angela Su, et al.. (2024). The UBE2J2/UBE2K-MARCH5 ubiquitination machinery regulates apoptosis in response to venetoclax in acute myeloid leukemia. Leukemia. 38(3). 652–656. 1 indexed citations

Lu, Diana, Jana M. Ellegast, Kenneth N. Ross, et al.. (2023). The ETS transcription factor ETV6 constrains the transcriptional activity of EWS–FLI to promote Ewing sarcoma. Nature Cell Biology. 25(2). 285–297. 24 indexed citations

Pikman, Yana, Gabriela Alexe, Boris Dimitrov, et al.. (2021). Targeting serine hydroxymethyltransferases 1 and 2 for T-cell acute lymphoblastic leukemia therapy. Leukemia. 36(2). 348–360. 36 indexed citations

Su, Angela, et al.. (2020). Dialogue across Borders: Angela Su’s Chimeric Antibodies. East Asian Science Technology and Society An International Journal. 14(4). 667–670.

Benajiba, Lina, Gabriela Alexe, Angela Su, et al.. (2018). Creatine kinase pathway inhibition alters GSK3 and WNT signaling in EVI1-positive AML. Leukemia. 33(3). 800–804. 12 indexed citations

Su, Angela, Franco Aversa, Birgit Knoechel, et al.. (2017). Identification of EHMT2 As a New Target in T-Cell Acute Lymphoblastic Leukemia. Blood. 130. 2548–2548. 1 indexed citations

Su, Angela, et al.. (2017). Function of Metallothionein-3 in Neuronal Cells: Do Metal Ions Alter Expression Levels of MT3?. International Journal of Molecular Sciences. 18(6). 1133–1133. 22 indexed citations

Roti, Giovanni, Jun Qi, Marta Sánchez-Martín, et al.. (2017). Leukemia-specific delivery of mutant NOTCH1 targeted therapy. The Journal of Experimental Medicine. 215(1). 197–216. 28 indexed citations

Carpenter, Margaret C., et al.. (2015). Thermodynamics of Pb(ii) and Zn(ii) binding to MT-3, a neurologically important metallothionein. Metallomics. 8(6). 605–617. 36 indexed citations

10.

Roti, Giovanni, Jun Qi, Angela Su, et al.. (2014). Selectively Targeting Mutated NOTCH1 with a Folate-Thapsigargin Derivative. Blood. 124(21). 2158–2158.

11.

Roti, Giovanni, Kenneth N. Ross, Michele Markstein, et al.. (2013). Complementary Genomic Screens Identify SERCA as a Therapeutic Target in NOTCH1 Mutated Cancer. Cancer Cell. 23(3). 390–405. 117 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.

Explore authors with similar magnitude of impact