Chibawanye Ene

93 total papers · 1.7k total citations
45 papers, 1.2k citations indexed

About

Chibawanye Ene is a scholar working on Genetics, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chibawanye Ene has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 12 papers in Neurology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chibawanye Ene's work include Glioma Diagnosis and Treatment (20 papers), Brain Metastases and Treatment (7 papers) and Meningioma and schwannoma management (6 papers). Chibawanye Ene is often cited by papers focused on Glioma Diagnosis and Treatment (20 papers), Brain Metastases and Treatment (7 papers) and Meningioma and schwannoma management (6 papers). Chibawanye Ene collaborates with scholars based in United States, South Africa and Nigeria. Chibawanye Ene's co-authors include Eric C. Holland, Matthias T. Stephan, Fan Zhang, Sirkka B. Stephan, Michael Coon, Amanda Koehne, Neha N. Parayath, Frederick F. Lang, Jason Barber and Ryan P. Morton and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Chibawanye Ene

39 papers receiving 1.1k citations

Hit Papers

Genetic programming of ma... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chibawanye Ene 408 360 260 215 181 45 1.2k
Bart Thaçi 549 1.3× 212 0.6× 404 1.6× 252 1.2× 69 0.4× 34 1.3k
Masasuke Ohno 334 0.8× 254 0.7× 428 1.6× 185 0.9× 42 0.2× 42 966
Junpei Suzuki 426 1.0× 407 1.1× 159 0.6× 63 0.3× 91 0.5× 58 1.4k
Hisashi Hattori 492 1.2× 224 0.6× 105 0.4× 95 0.4× 70 0.4× 54 1.3k
Patrik Gabikian 341 0.8× 142 0.4× 268 1.0× 332 1.5× 130 0.7× 29 1.4k
Francesco Di Meco 311 0.8× 136 0.4× 246 0.9× 129 0.6× 112 0.6× 39 923
Kam Sze Tsang 380 0.9× 162 0.5× 170 0.7× 58 0.3× 108 0.6× 50 1.1k
G. Elizabeth Pluhar 255 0.6× 207 0.6× 174 0.7× 186 0.9× 59 0.3× 61 1.3k
Jau‐Shiuh Chen 384 0.9× 231 0.6× 256 1.0× 251 1.2× 90 0.5× 43 1.4k
Sarah Haylock‐Jacobs 364 0.9× 368 1.0× 256 1.0× 97 0.5× 62 0.3× 20 1.2k

Countries citing papers authored by Chibawanye Ene

Since Specialization
Citations

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

Fields of papers citing papers by Chibawanye Ene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chibawanye Ene

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

All Works

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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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