M.L. Richard Yip

1.7k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

M.L. Richard Yip is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, M.L. Richard Yip has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Organic Chemistry. Recurrent topics in M.L. Richard Yip's work include Natural product bioactivities and synthesis (3 papers), Protein Tyrosine Phosphatases (2 papers) and Phytochemistry and Biological Activities (2 papers). M.L. Richard Yip is often cited by papers focused on Natural product bioactivities and synthesis (3 papers), Protein Tyrosine Phosphatases (2 papers) and Phytochemistry and Biological Activities (2 papers). M.L. Richard Yip collaborates with scholars based in United States, Australia and Norway. M.L. Richard Yip's co-authors include Wayne C. Guida, Harshani R. Lawrence, Nicholas J. Lawrence, Saı̈d M. Sebti, James Turkson, Richard Jove, Michelle A. Blaskovich, Benjamin Greedy, Shumin Zhang and Khandaker Siddiquee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Development.

In The Last Decade

M.L. Richard Yip

15 papers receiving 1.4k citations

Hit Papers

Selective chemical probe inhibitor of Stat3, identified t... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.L. Richard Yip United States 14 837 591 359 144 132 15 1.4k
Angela Hollis United States 8 719 0.9× 607 1.0× 401 1.1× 180 1.3× 196 1.5× 9 1.6k
Pulicat Manogaran Saudi Arabia 19 875 1.0× 499 0.8× 295 0.8× 276 1.9× 206 1.6× 35 1.6k
Christian Billard France 25 984 1.2× 425 0.7× 547 1.5× 239 1.7× 179 1.4× 66 2.0k
Suparna Mazumder United States 17 1.1k 1.3× 476 0.8× 253 0.7× 177 1.2× 202 1.5× 27 1.7k
Zhengduo Yang China 16 679 0.8× 522 0.9× 104 0.3× 131 0.9× 229 1.7× 30 1.3k
Divya Chaudhary United States 18 624 0.7× 631 1.1× 827 2.3× 111 0.8× 118 0.9× 62 1.7k
Galina Kuznetsov United States 19 873 1.0× 578 1.0× 177 0.5× 73 0.5× 171 1.3× 30 1.8k
Lubing Gu United States 24 1.2k 1.4× 701 1.2× 171 0.5× 100 0.7× 313 2.4× 39 1.6k
Zhu Yuan China 24 1.0k 1.2× 394 0.7× 180 0.5× 84 0.6× 274 2.1× 68 1.4k
Emmanuel T. Akporiaye United States 22 745 0.9× 634 1.1× 661 1.8× 56 0.4× 193 1.5× 51 1.6k

Countries citing papers authored by M.L. Richard Yip

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Richard Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Richard Yip. 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 M.L. Richard Yip. The network helps show where M.L. Richard Yip may publish in the future.

Co-authorship network of co-authors of M.L. Richard Yip

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

All Works

15 of 15 papers shown
1.
Neupane, Ram P., Wesley Y. Yoshida, M.L. Richard Yip, et al.. (2019). Cytotoxic Sesquiterpenoid Quinones and Quinols, and an 11-Membered Heterocycle, Kauamide, from the Hawaiian Marine Sponge Dactylospongia elegans. Marine Drugs. 17(7). 423–423. 13 indexed citations
2.
Wu, Xiaoxing, Stephanie Walker, Chia‐Lin Chen, et al.. (2018). Glucocorticoid Signaling Enhances Expression of Glucose-Sensing Molecules in Immature Pancreatic Beta-Like Cells Derived from Murine Embryonic Stem Cells In Vitro. Stem Cells and Development. 27(13). 898–909. 6 indexed citations
3.
Lee, Sangjun, Eileen L. Heinrich, Lily Li, et al.. (2015). CCR9‐mediated signaling through β‐catenin and identification of a novel CCR9 antagonist. Molecular Oncology. 9(8). 1599–1611. 23 indexed citations
4.
Dai, Jingqiu, Wesley Y. Yoshida, M.L. Richard Yip, et al.. (2015). Bromotyrosine-derived metabolites from an Indonesian marine sponge in the family Aplysinellidae (Order Verongiida). Bioorganic & Medicinal Chemistry Letters. 26(2). 499–504. 20 indexed citations
5.
Kim, Ki Hyun, Yong Joo Park, Kyu Hyuck Chung, et al.. (2015). Iridoid Glycosides from Barleria lupulina. Journal of Natural Products. 78(2). 320–324. 26 indexed citations
6.
Wang, Yujun, Ernest Han, Jin Yan, et al.. (2014). Baicalein upregulates DDIT4 expression which mediates mTOR inhibition and growth inhibition in cancer cells. Cancer Letters. 358(2). 170–179. 75 indexed citations
7.
Zhou, Bingsen, Leila Su, Shuya Hu, et al.. (2013). A Small-Molecule Blocking Ribonucleotide Reductase Holoenzyme Formation Inhibits Cancer Cell Growth and Overcomes Drug Resistance. Cancer Research. 73(21). 6484–6493. 65 indexed citations
8.
Li, Wendong, Erpo Tian, Zhaoxia Chen, et al.. (2012). Identification of Oct4-activating compounds that enhance reprogramming efficiency. Proceedings of the National Academy of Sciences. 109(51). 20853–20858. 62 indexed citations
9.
Kim, Joseph, M.L. Richard Yip, Xiaoming Shen, et al.. (2012). Identification of Anti-Malarial Compounds as Novel Antagonists to Chemokine Receptor CXCR4 in Pancreatic Cancer Cells. PLoS ONE. 7(2). e31004–e31004. 57 indexed citations
10.
Gao, Jinbo, Yujun Wang, Jin Yan, et al.. (2011). Identification of a Natural Compound by Cell-Based Screening That Enhances Interferon Regulatory Factor-1 Activity and Causes Tumor Suppression. Molecular Cancer Therapeutics. 10(10). 1774–1783. 15 indexed citations
11.
Lawrence, Harshani R., Zhenyu Li, M.L. Richard Yip, et al.. (2009). Identification of a disruptor of the MDM2-p53 protein–protein interaction facilitated by high-throughput in silico docking. Bioorganic & Medicinal Chemistry Letters. 19(14). 3756–3759. 22 indexed citations
12.
Lawrence, Harshani R., Roberta Pireddu, Liwei Chen, et al.. (2008). Inhibitors of Src Homology-2 Domain Containing Protein Tyrosine Phosphatase-2 (Shp2) Based on Oxindole Scaffolds. Journal of Medicinal Chemistry. 51(16). 4948–4956. 81 indexed citations
13.
Siddiquee, Khandaker, Shumin Zhang, Wayne C. Guida, et al.. (2007). Selective chemical probe inhibitor of Stat3, identified through structure-based virtual screening, induces antitumor activity. Proceedings of the National Academy of Sciences. 104(18). 7391–7396. 616 indexed citations breakdown →
14.
Chen, Liwei, Shen‐Shu Sung, M.L. Richard Yip, et al.. (2006). Discovery of a Novel Shp2 Protein Tyrosine Phosphatase Inhibitor. Molecular Pharmacology. 70(2). 562–570. 236 indexed citations
15.
Yip, M.L. Richard, et al.. (1997). Control of germ-band retraction in Drosophila by the zinc-finger protein HINDSIGHT. Development. 124(11). 2129–2141. 87 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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