Harish Nagaraj

546 total citations
8 papers, 365 citations indexed

About

Harish Nagaraj is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Harish Nagaraj has authored 8 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Harish Nagaraj's work include Chronic Lymphocytic Leukemia Research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Cancer-related Molecular Pathways (2 papers). Harish Nagaraj is often cited by papers focused on Chronic Lymphocytic Leukemia Research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Cancer-related Molecular Pathways (2 papers). Harish Nagaraj collaborates with scholars based in Singapore. Harish Nagaraj's co-authors include Anders Poulsen, Brian Dymock, Kee Chuan Goh, Anthony D. William, Stéphanie Blanchard, Meredith Williams, Eric T. Sun, Haishan Wang, Jeanette M. Wood and Kantharaj Ethirajulu and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Harish Nagaraj

8 papers receiving 353 citations

Peers

Harish Nagaraj
Comparison fields: 5 of 47
  • Molecular Biology 190
  • Oncology 134
  • Genetics 113
  • Organic Chemistry 103
  • Hematology 74
Corynn Kasap United States
Kimberly A. Robell United States
Kwee Hyun Suh South Korea
Mairead Young United States
Jeff Keats United States
Hengbang Wang China
Charles Watson Moore United States
Andreas Floersheimer Switzerland
Liv Johannessen United States
Lesley Liu‐Bujalski United States
Corynn Kasap United States View profile →
Citations per field, relative to Harish Nagaraj
Harish Nagaraj · 1×
Citations per year, relative to Harish Nagaraj
Harish Nagaraj · 1×

Countries citing papers authored by Harish Nagaraj

Since Specialization
Citations

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

Fields of papers citing papers by Harish Nagaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harish Nagaraj

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

All Works

8 of 8 papers shown
# Title Journal Authors Indexed citations
1 Design Optimisation and Life Estimation of Split Hub Geometry of FSAE Car Harish Nagaraj et al. 1
2 Structure and Ligand-Based Design of mTOR and PI3-Kinase Inhibitors Leading to the Clinical Candidates VS-5584 (SB2343) and SB2602 Journal of Chemical Information and Modeling Anders Poulsen, Harish Nagaraj et al. 27
3 Structure-based design of nitrogen-linked macrocyclic kinase inhibitors leading to the clinical candidate SB1317/TG02, a potent inhibitor of cyclin dependant kinases (CDKs), Janus kinase 2 (JAK2), and Fms-like tyrosine kinase-3 (FLT3) Journal of Molecular Modeling Anders Poulsen, Anthony D. William et al. 29
4 Structure-based design of oxygen-linked macrocyclic kinase inhibitors: discovery of SB1518 and SB1578, potent inhibitors of Janus kinase 2 (JAK2) and Fms-like tyrosine kinase-3 (FLT3) Journal of Computer-Aided Molecular Design Anders Poulsen, Anthony D. William et al. 31
5 Discovery of the Macrocycle (9E)-15-(2-(Pyrrolidin-1-yl)ethoxy)-7,12,25-trioxa-19,21,24-triaza-tetracyclo[18.3.1.1(2,5).1(14,18)]hexacosa-1(24),2,4,9,14(26),15,17,20,22-nonaene (SB1578), a Potent Inhibitor of Janus Kinase 2/Fms-LikeTyrosine Kinase-3 (JAK2/FLT3) for the Treatment of Rheumatoid Arthritis Journal of Medicinal Chemistry Anthony D. William, Anders Poulsen et al. 36
6 Structure-based optimization of morpholino-triazines as PI3K and mTOR inhibitors Bioorganic & Medicinal Chemistry Letters Anders Poulsen, Meredith Williams et al. 14
7 Discovery of Kinase Spectrum Selective Macrocycle (16E)-14-Methyl-20-oxa-5,7,14,26-tetraazatetracyclo[19.3.1.1(2,6).1(8,12)]heptacosa-1(25),2(26),3,5,8(27),9,11,16,21,23-decaene (SB1317/TG02), a Potent Inhibitor of Cyclin Dependent Kinases (CDKs), Janus Kinase 2 (JAK2), and Fms-like Tyrosine Kinase-3 (FLT3) for the Treatment of Cancer Journal of Medicinal Chemistry Anthony D. William, Kee Chuan Goh et al. 78
8 Discovery of the Macrocycle 11-(2-Pyrrolidin-1-yl-ethoxy)-14,19-dioxa-5,7,26-triaza-tetracyclo[19.3.1.1(2,6).1(8,12)]heptacosa-1(25),2(26),3,5,8,10,12(27),16,21,23-decaene (SB1518), a Potent Janus Kinase 2/Fms-Like Tyrosine Kinase-3 (JAK2/FLT3) Inhibitor for the Treatment of Myelofibrosis and Lymphoma Journal of Medicinal Chemistry Anthony D. William, Stéphanie Blanchard et al. 149

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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