Mahima Agochiya

897 total citations
7 papers, 680 citations indexed

About

Mahima Agochiya is a scholar working on Molecular Biology, Oncology and Ophthalmology. According to data from OpenAlex, Mahima Agochiya has authored 7 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Ophthalmology. Recurrent topics in Mahima Agochiya's work include Cancer-related Molecular Pathways (3 papers), Retinal Development and Disorders (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Mahima Agochiya is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Retinal Development and Disorders (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Mahima Agochiya collaborates with scholars based in Canada and United Kingdom. Mahima Agochiya's co-authors include Danian Chen, Izhar Livne‐Bar, Rod Bremner, Margaret C. Frame, Ruth S. Slack, Jacqueline L. Vanderluit, Valerie G. Brunton, Christos Paraskeva, Eric Kenneth Parkinson and W. Nicol Keith and has published in prestigious journals such as Cancer Cell, Oncogene and Cell Death and Differentiation.

In The Last Decade

Mahima Agochiya

7 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahima Agochiya Canada 7 439 227 151 138 133 7 680
Julie Loader United Kingdom 10 591 1.3× 222 1.0× 31 0.2× 135 1.0× 51 0.4× 12 845
Steven Pennock United States 11 534 1.2× 149 0.7× 93 0.6× 235 1.7× 205 1.5× 16 849
Pegah Rouhi Sweden 12 590 1.3× 210 0.9× 44 0.3× 289 2.1× 38 0.3× 12 913
Lere Bao United States 9 685 1.6× 381 1.7× 120 0.8× 169 1.2× 13 0.1× 9 979
E. A. Seftor United States 7 481 1.1× 162 0.7× 105 0.7× 141 1.0× 13 0.1× 8 648
Ze’ev Gechtman Israel 11 655 1.5× 300 1.3× 155 1.0× 119 0.9× 8 0.1× 14 924
Egle Balciunaite United States 9 616 1.4× 187 0.8× 50 0.3× 84 0.6× 98 0.7× 10 843
Rong-Hua Tao United States 12 430 1.0× 152 0.7× 27 0.2× 39 0.3× 35 0.3× 17 648
Yeu Su Taiwan 12 219 0.5× 111 0.5× 82 0.5× 282 2.0× 8 0.1× 16 530
Sumanta Goswami United States 13 735 1.7× 470 2.1× 66 0.4× 248 1.8× 36 0.3× 14 1.4k

Countries citing papers authored by Mahima Agochiya

Since Specialization
Citations

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

Fields of papers citing papers by Mahima Agochiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahima Agochiya

This figure shows the co-authorship network connecting the top 25 collaborators of Mahima Agochiya. A scholar is included among the top collaborators of Mahima Agochiya 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 Mahima Agochiya. Mahima Agochiya 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.
Sodek, Katharine L., Andreas Evangelou, Alexandr Ignatchenko, et al.. (2008). Identification of pathways associated with invasive behavior by ovarian cancer cells using multidimensional protein identification technology (MudPIT). Molecular BioSystems. 4(7). 762–773. 40 indexed citations
2.
Gortzak‐Uzan, Limor, Alexandr Ignatchenko, Andreas Evangelou, et al.. (2007). A Proteome Resource of Ovarian Cancer Ascites: Integrated Proteomic and Bioinformatic Analyses To Identify Putative Biomarkers. Journal of Proteome Research. 7(1). 339–351. 123 indexed citations
3.
Chen, Danian, Izhar Livne‐Bar, Jacqueline L. Vanderluit, et al.. (2004). Cell-specific effects of RB or RB/p107 loss on retinal development implicate an intrinsically death-resistant cell-of-origin in retinoblastoma. Cancer Cell. 5(6). 539–551. 223 indexed citations
4.
Bremner, Rod, Danian Chen, Marek Pacal, Izhar Livne‐Bar, & Mahima Agochiya. (2004). The RB Protein Family in Retinal Development and Retinoblastoma: New Insights from New Mouse Models. Developmental Neuroscience. 26(5-6). 417–434. 20 indexed citations
5.
Ivanova, Anna, Mahima Agochiya, Marc Amoyel, & William D. Richardson. (2003). Receptor tyrosine phosphatase zeta/beta in astrocyte progenitors in the developing chick spinal cord. Gene Expression Patterns. 4(2). 161–166. 9 indexed citations
6.
Johnson, D. Gale, Mahima Agochiya, Kumiko Samejima, et al.. (2000). Regulation of both apoptosis and cell survival by the v-Src oncoprotein. Cell Death and Differentiation. 7(8). 685–696. 63 indexed citations
7.
Agochiya, Mahima, Valerie G. Brunton, Eric Kenneth Parkinson, et al.. (1999). Increased dosage and amplification of the focal adhesion kinase gene in human cancer cells. Oncogene. 18(41). 5646–5653. 202 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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