Sherman Ku

1.6k total citations
8 papers, 337 citations indexed

About

Sherman Ku is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Sherman Ku has authored 8 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Genetics. Recurrent topics in Sherman Ku's work include DNA Repair Mechanisms (3 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Sherman Ku is often cited by papers focused on DNA Repair Mechanisms (3 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Sherman Ku collaborates with scholars based in United States, Poland and Italy. Sherman Ku's co-authors include Joel Gottesfeld, Elisabetta Soragni, Марек Напиерала, Elizabeth A. Thomas, Gülşah Altun, Louise C. Laurent, Jeanne F. Loring, Peter B. Dervan, James W. Puckett and Chris J. Vickers and has published in prestigious journals such as Journal of Biological Chemistry, Cell stem cell and RNA.

In The Last Decade

Sherman Ku

8 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sherman Ku United States	6	314	168	53	24	21	8	337
Chantal Rencurel Switzerland	7	434 1.4×	112 0.7×	30 0.6×	19 0.8×	18 0.9×	9	541
Mei‐Ling Qi Japan	10	239 0.8×	150 0.9×	44 0.8×	19 0.8×	10 0.5×	13	336
Marlies Verschuuren Belgium	10	185 0.6×	135 0.8×	21 0.4×	35 1.5×	24 1.1×	19	342
Elizabeth Thames United States	7	210 0.7×	74 0.4×	18 0.3×	22 0.9×	29 1.4×	10	271
Alejandro Mas Monteys United States	5	238 0.8×	135 0.8×	26 0.5×	28 1.2×	32 1.5×	6	275
Feisi Liang United States	5	238 0.8×	154 0.9×	23 0.4×	23 1.0×	10 0.5×	6	372
Stefano Camnasio Italy	8	290 0.9×	184 1.1×	31 0.6×	23 1.0×	12 0.6×	9	343
Erika Tenderini Italy	11	180 0.6×	102 0.6×	84 1.6×	14 0.6×	7 0.3×	13	353
Antonella Sferra Italy	8	151 0.5×	47 0.3×	43 0.8×	30 1.3×	16 0.8×	12	246
Catherine Schwartz United States	11	400 1.3×	82 0.5×	74 1.4×	59 2.5×	26 1.2×	13	479

Countries citing papers authored by Sherman Ku

Since Specialization

Citations

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

Fields of papers citing papers by Sherman Ku

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sherman Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Sherman Ku. A scholar is included among the top collaborators of Sherman Ku 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 Sherman Ku. Sherman Ku 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.

Ku, Sherman, et al.. (2021). Development of recombinase-based targeted integration systems for production of exogenous proteins using transposon-mediated landing pads. Current Research in Biotechnology. 3. 269–280. 2 indexed citations

2.

Lai, Jiun‐I, Luke J. Leman, Sherman Ku, et al.. (2017). Cyclic tetrapeptide HDAC inhibitors as potential therapeutics for spinal muscular atrophy: Screening with iPSC-derived neuronal cells. Bioorganic & Medicinal Chemistry Letters. 27(15). 3289–3293. 25 indexed citations

3.

Sperber, Henrik, Ross D. Jones, Yu Chen, et al.. (2014). miRNA sensitivity to Drosha levels correlates with pre-miRNA secondary structure. RNA. 20(5). 621–631. 20 indexed citations

4.

Polak, Urszula, Calley Hirsch, Sherman Ku, et al.. (2012). Selecting and Isolating Colonies of Human Induced Pluripotent Stem Cells Reprogrammed from Adult Fibroblasts. Journal of Visualized Experiments. 10 indexed citations

5.

Polak, Urszula, Calley Hirsch, Sherman Ku, et al.. (2012). Selecting and Isolating Colonies of Human Induced Pluripotent Stem Cells Reprogrammed from Adult Fibroblasts. Journal of Visualized Experiments. 2 indexed citations

6.

Soragni, Elisabetta, et al.. (2012). Role of Mismatch Repair Enzymes in GAA·TTC Triplet-repeat Expansion in Friedreich Ataxia Induced Pluripotent Stem Cells. Journal of Biological Chemistry. 287(35). 29861–29872. 92 indexed citations

7.

Ku, Sherman, Elisabetta Soragni, Elizabeth A. Thomas, et al.. (2010). Friedreich's Ataxia Induced Pluripotent Stem Cells Model Intergenerational GAA⋅TTC Triplet Repeat Instability. Cell stem cell. 7(5). 631–637. 165 indexed citations

8.

Álvarez, David, C. James Chou, Lucia Latella, et al.. (2006). A Two-Hit Mechanism for Pre-Mitotic Arrest of Cancer Cell Proliferation by a Polyamide-Alkylator Conjugate. Cell Cycle. 5(14). 1537–1548. 21 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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