Kika Anyiwe

847 total citations · 1 hit paper
6 papers, 681 citations indexed

About

Kika Anyiwe is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Kika Anyiwe has authored 6 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Kika Anyiwe's work include Cell death mechanisms and regulation (1 paper), Liver Disease and Transplantation (1 paper) and Ion channel regulation and function (1 paper). Kika Anyiwe is often cited by papers focused on Cell death mechanisms and regulation (1 paper), Liver Disease and Transplantation (1 paper) and Ion channel regulation and function (1 paper). Kika Anyiwe collaborates with scholars based in Canada, United States and India. Kika Anyiwe's co-authors include Aaron D. Schimmer, Craig D. Simpson, Marcela Gronda, Rose Hurren, Shereen Ezzat, Craig C. Earle, Sonia Cheng, Prithwish De, Amudha L. Venugopal and Jeffrey L. Wrana and has published in prestigious journals such as PLoS ONE, Cancer Research and Cancer Letters.

In The Last Decade

Kika Anyiwe

6 papers receiving 675 citations

Hit Papers

Anoikis resistance and tumor metastasis 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

Kika Anyiwe
Comparison fields: 5 of 79
  • Molecular Biology 410
  • Oncology 183
  • Cancer Research 178
  • Cell Biology 99
  • Pulmonary and Respiratory Medicine 78
Replace Kyung Hee Koo with:
Kyung Hee Koo South Korea
Xiaobo Cui China
Ekta Agarwal United States
Anping Song China
Cristina Mir Spain
Xiaoqian Jing China
Yoelsis Garcia‐Mayea Spain
Junjie Piao China
Petra Koudelková Austria
Sonia Mohinta United States
Kyung Hee Koo South Korea View profile →
Citations per field, relative to Kika Anyiwe
Kika Anyiwe · 1×
Citations per year, relative to Kika Anyiwe
Kika Anyiwe · 1×

Countries citing papers authored by Kika Anyiwe

Since Specialization
Citations

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

Fields of papers citing papers by Kika Anyiwe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kika Anyiwe

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 3
2 13
3 25
4 56
5 84
6
Anoikis resistance and tumor metastasis breakdown →
500

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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