Seema Tevar

1.1k total citations · 1 hit paper
7 papers, 914 citations indexed

About

Seema Tevar is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Seema Tevar has authored 7 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Seema Tevar's work include Microtubule and mitosis dynamics (6 papers), Cancer-related Molecular Pathways (4 papers) and Photosynthetic Processes and Mechanisms (3 papers). Seema Tevar is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Cancer-related Molecular Pathways (4 papers) and Photosynthetic Processes and Mechanisms (3 papers). Seema Tevar collaborates with scholars based in United States, Denmark and Canada. Seema Tevar's co-authors include Barbara L. Hempstead, Zhe-Yu Chen, Ramiro D. Almeida, Anders Nykjær, Henry Teng, Risa Torkin, Pouneh Kermani, Rosemary Kraemer, Kenneth K. Teng and Francis S. Lee and has published in prestigious journals such as Journal of Neuroscience, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Seema Tevar

6 papers receiving 899 citations

Hit Papers

ProBDNF Induces Neuronal Apoptosis via Activation of a Re... 2005 2026 2012 2019 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seema Tevar United States 5 604 335 322 106 98 7 914
Risa Torkin United States 7 719 1.2× 380 1.1× 435 1.4× 121 1.1× 80 0.8× 7 1.1k
Tina Marinic United States 9 513 0.8× 274 0.8× 360 1.1× 112 1.1× 44 0.4× 10 930
Nicola Schiavo Italy 9 442 0.7× 148 0.4× 432 1.3× 119 1.1× 102 1.0× 16 877
Li‐Dong Huang China 13 552 0.9× 197 0.6× 719 2.2× 88 0.8× 64 0.7× 19 1.5k
Nadhim Bayatti United Kingdom 21 471 0.8× 304 0.9× 543 1.7× 150 1.4× 106 1.1× 30 1.3k
Stephanie J. Fischer United States 10 294 0.5× 443 1.3× 370 1.1× 141 1.3× 90 0.9× 10 1.0k
Monica M. Oblinger United States 20 548 0.9× 275 0.8× 391 1.2× 109 1.0× 190 1.9× 31 1.1k
Chigusa Shimizu‐Okabe Japan 18 714 1.2× 168 0.5× 487 1.5× 154 1.5× 76 0.8× 32 1.1k
Esther Pozas Spain 23 840 1.4× 500 1.5× 576 1.8× 129 1.2× 140 1.4× 35 1.4k
Alain Privat France 17 623 1.0× 188 0.6× 455 1.4× 143 1.3× 68 0.7× 24 1.1k

Countries citing papers authored by Seema Tevar

Since Specialization
Citations

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

Fields of papers citing papers by Seema Tevar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seema Tevar

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

All Works

7 of 7 papers shown
1.
Basso, Andrea, Ming Liu, Kimberly Gray, et al.. (2011). SCH 1473759, a novel Aurora inhibitor, demonstrates enhanced anti-tumor activity in combination with taxanes and KSP inhibitors. Cancer Chemotherapy and Pharmacology. 68(4). 923–933. 4 indexed citations
2.
Basso, Andrea, Ming Liu, Chaoyang Dai, et al.. (2010). SCH 2047069, a Novel Oral Kinesin Spindle Protein Inhibitor, Shows Single-Agent Antitumor Activity and Enhances the Efficacy of Chemotherapeutics. Molecular Cancer Therapeutics. 9(11). 2993–3002. 17 indexed citations
3.
Belanger, David, Michael Williams, Patrick J. Curran, et al.. (2010). Discovery of orally bioavailable imidazo[1,2-a]pyrazine-based Aurora kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 20(22). 6739–6743. 16 indexed citations
4.
Meng, Zhaoyang, Bheemashankar A. Kulkarni, Angela D. Kerekes, et al.. (2010). Bioisosteric approach to the discovery of imidazo[1,2-a]pyrazines as potent Aurora kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 21(1). 592–598. 12 indexed citations
5.
Basso, Andrea, Kimberly Gray, Seema Tevar, et al.. (2010). Abstract 1648: SCH 1473759, a novel aurora inhibitor, demonstrates enhanced antitumor activity in combination with taxanes and KSP inhibitors. Cancer Research. 70(8_Supplement). 1648–1648.
6.
Kerekes, Angela D., Ronald J. Doll, Jayaram R. Tagat, et al.. (2010). Aurora Kinase Inhibitors Based on the Imidazo[1,2-a]pyrazine Core: Fluorine and Deuterium Incorporation Improve Oral Absorption and Exposure. Journal of Medicinal Chemistry. 54(1). 201–210. 49 indexed citations
7.
Teng, Henry, Kenneth K. Teng, Seema Tevar, et al.. (2005). ProBDNF Induces Neuronal Apoptosis via Activation of a Receptor Complex of p75NTRand Sortilin. Journal of Neuroscience. 25(22). 5455–5463. 816 indexed citations breakdown →

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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