Clarissa Ganda

659 total citations
11 papers, 521 citations indexed

About

Clarissa Ganda is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Clarissa Ganda has authored 11 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Clarissa Ganda's work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (3 papers). Clarissa Ganda is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (3 papers). Clarissa Ganda collaborates with scholars based in Australia, United States and Germany. Clarissa Ganda's co-authors include Felicity C. Kalinowski, Michael R. Epis, Peter J. Leedman, Rikki A. M. Brown, Keith M. Giles, Patrick A. Candy, Kirsty Richardson, Lisa M. Stuart, Rebecca J. Webster and Christina Kopp and has published in prestigious journals such as PLoS ONE, Hepatology and The International Journal of Biochemistry & Cell Biology.

In The Last Decade

Clarissa Ganda

11 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clarissa Ganda Australia 8 388 341 52 51 38 11 521
Yun Gu China 11 284 0.7× 227 0.7× 45 0.9× 42 0.8× 23 0.6× 22 384
Zi−Li Huang China 12 663 1.7× 561 1.6× 37 0.7× 51 1.0× 36 0.9× 21 791
Kim Moran‐Jones Australia 13 465 1.2× 92 0.3× 36 0.7× 63 1.2× 24 0.6× 16 562
Tomoatsu Hayashi Japan 12 355 0.9× 111 0.3× 31 0.6× 93 1.8× 33 0.9× 21 487
Yakun Liu China 13 325 0.8× 128 0.4× 48 0.9× 31 0.6× 18 0.5× 36 443
Lorenza Pasqualini Italy 10 176 0.5× 136 0.4× 32 0.6× 75 1.5× 35 0.9× 13 365
Reniqua House United States 11 391 1.0× 157 0.5× 74 1.4× 50 1.0× 14 0.4× 11 520
Gillian Vogel Canada 15 846 2.2× 162 0.5× 33 0.6× 42 0.8× 11 0.3× 17 951
Xiaobai Liu China 14 495 1.3× 432 1.3× 30 0.6× 25 0.5× 15 0.4× 19 592

Countries citing papers authored by Clarissa Ganda

Since Specialization
Citations

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

Fields of papers citing papers by Clarissa Ganda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clarissa Ganda

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

All Works

11 of 11 papers shown
1.
Kabir, Tasnuva D., Clarissa Ganda, Rikki A. M. Brown, et al.. (2017). A microRNA‐7/growth arrest specific 6/TYRO3 axis regulates the growth and invasiveness of sorafenib‐resistant cells in human hepatocellular carcinoma. Hepatology. 67(1). 216–231. 107 indexed citations
2.
Giles, Keith M., Rikki A. M. Brown, Clarissa Ganda, et al.. (2016). microRNA-7-5p inhibits melanoma cell proliferation and metastasis by suppressing RelA/NF-κB. Oncotarget. 7(22). 31663–31680. 65 indexed citations
3.
Ganda, Clarissa, et al.. (2015). MicroRNA-7: A miRNA with expanding roles in development and disease. The International Journal of Biochemistry & Cell Biology. 69. 215–224. 69 indexed citations
4.
Kalinowski, Felicity C., et al.. (2015). Clinical Potential of microRNA-7 in Cancer. Journal of Clinical Medicine. 4(9). 1668–1687. 36 indexed citations
5.
Kalinowski, Felicity C., Rikki A. M. Brown, Clarissa Ganda, et al.. (2014). microRNA-7: A tumor suppressor miRNA with therapeutic potential. The International Journal of Biochemistry & Cell Biology. 54. 312–317. 110 indexed citations
6.
Bolton, Kelly L., et al.. (2012). Role of common genetic variants in ovarian cancer susceptibility and outcome: progress to date from the ovarian cancer association consortium (OCAC). Journal of Internal Medicine. 271(4). 366–378. 29 indexed citations
7.
Kalinowski, Felicity C., Keith M. Giles, Patrick A. Candy, et al.. (2012). Regulation of Epidermal Growth Factor Receptor Signaling and Erlotinib Sensitivity in Head and Neck Cancer Cells by miR-7. PLoS ONE. 7(10). e47067–e47067. 72 indexed citations
9.
Ganda, Clarissa, Sibylle G. Schwab, Nurmiati Amir, et al.. (2009). A family-based association study of DNA sequence variants in GRM7 with schizophrenia in an Indonesian population. The International Journal of Neuropsychopharmacology. 12(9). 1283–1283. 28 indexed citations
10.
Ganda, Clarissa, et al.. (1982). High radio-isotope uptakes in patients with hypothyroidism.. PubMed. 62(24). 892–3. 2 indexed citations
11.
Ganda, Clarissa, Piyush Joshi, & Stefanie D. Krämer. (1981). Acute intermittent porphyria. A case report.. PubMed. 60(20). 789–92. 1 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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