Zenaida Go

601 total citations
2 papers, 310 citations indexed

About

Zenaida Go is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Zenaida Go has authored 2 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 0 papers in Infectious Diseases. Recurrent topics in Zenaida Go's work include Melanoma and MAPK Pathways (2 papers), HER2/EGFR in Cancer Research (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). Zenaida Go is often cited by papers focused on Melanoma and MAPK Pathways (2 papers), HER2/EGFR in Cancer Research (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). Zenaida Go collaborates with scholars based in . Zenaida Go's co-authors include Kathryn Packman, Kenneth Kolinsky, Fei Su, Hong Yang, Gideon Bollag, Brian Higgins, Sylvia Zhao, Stanley P. Kolis, Raman Iyer and Mary Ellen Simcox and has published in prestigious journals such as Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Zenaida Go

2 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zenaida Go	2	262	184	71	46	41	2	310
Kazuhiro Ohara Japan	4	346 1.3×	138 0.8×	53 0.7×	85 1.8×	36 0.9×	6	407
Casey G. Langdon United States	10	236 0.9×	112 0.6×	63 0.9×	29 0.6×	21 0.5×	13	298
Akito Nakamura Japan	8	326 1.2×	119 0.6×	60 0.8×	63 1.4×	45 1.1×	13	424
Calvo Medina United States	6	239 0.9×	164 0.9×	32 0.5×	44 1.0×	24 0.6×	7	339
John Stellwagen United States	5	209 0.8×	113 0.6×	65 0.9×	47 1.0×	83 2.0×	5	290
Jason R. Todd Australia	7	245 0.9×	151 0.8×	42 0.6×	52 1.1×	18 0.4×	8	310
Ivana Yen United States	7	271 1.0×	88 0.5×	73 1.0×	42 0.9×	52 1.3×	8	327
Clarissa C. Yu Canada	5	450 1.7×	258 1.4×	86 1.2×	80 1.7×	26 0.6×	8	536
Simon Planken United States	5	196 0.7×	131 0.7×	22 0.3×	23 0.5×	75 1.8×	6	275
Takeo Arita Japan	7	319 1.2×	151 0.8×	74 1.0×	58 1.3×	66 1.6×	11	408

Countries citing papers authored by Zenaida Go

Since Specialization

Citations

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

Fields of papers citing papers by Zenaida Go

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zenaida Go

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

All Works

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2 of 2 papers shown

1.

Higgins, Brian, Kenneth Kolinsky, Hong Yang, et al.. (2012). Efficacy of vemurafenib, a selective BRAF^V600E inhibitor, in combination with a MEK inhibitor in BRAF^V600E colorectal cancer models.. Journal of Clinical Oncology. 30(4_suppl). 488–488. 3 indexed citations

2.

Yang, Hong, Brian Higgins, Kenneth Kolinsky, et al.. (2010). RG7204 (PLX4032), a Selective BRAFV600E Inhibitor, Displays Potent Antitumor Activity in Preclinical Melanoma Models. Cancer Research. 70(13). 5518–5527. 307 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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