C.O. Njoku

77 total papers · 723 total citations
57 papers, 478 citations indexed

About

C.O. Njoku is a scholar working on Epidemiology, Ecology, Evolution, Behavior and Systematics and Obstetrics and Gynecology. According to data from OpenAlex, C.O. Njoku has authored 57 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 10 papers in Ecology, Evolution, Behavior and Systematics and 10 papers in Obstetrics and Gynecology. Recurrent topics in C.O. Njoku's work include Trypanosoma species research and implications (11 papers), Vector-Borne Animal Diseases (9 papers) and Global Maternal and Child Health (5 papers). C.O. Njoku is often cited by papers focused on Trypanosoma species research and implications (11 papers), Vector-Borne Animal Diseases (9 papers) and Global Maternal and Child Health (5 papers). C.O. Njoku collaborates with scholars based in Nigeria, United States and Türkiye. C.O. Njoku's co-authors include D. Ogwu, J. Kumi‐Diaka, D.I. Saror, V.O. Sekoni, T. W. Schillhorn van Veen, JE Ekabua, Sarah Dennis, C. D. Ezeokoli, P. W. Ladds and A. C. Strafuss and has published in prestigious journals such as SHILAP Revista de lepidopterología, Theriogenology and Veterinary Parasitology.

In The Last Decade

C.O. Njoku

51 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
C.O. Njoku	186	80	73	72	63	57	478
Dawit Tesfaye	61 0.3×	29 0.4×	103 1.4×	78 1.1×	72 1.1×	36	461
María de Lourdes Adrien	63 0.3×	55 0.7×	58 0.8×	99 1.4×	84 1.3×	37	548
Morena Di Tommaso	152 0.8×	13 0.2×	38 0.5×	54 0.8×	59 0.9×	39	550
E. Katunguka‐Rwakishaya	328 1.8×	105 1.3×	27 0.4×	94 1.3×	177 2.8×	33	493
Kvetoslava Rimárová	71 0.4×	57 0.7×	52 0.7×	6 0.1×	77 1.2×	69	544
Zengqiang Kou	56 0.3×	36 0.5×	13 0.2×	38 0.5×	81 1.3×	69	477
Aakash Shrivastava	50 0.3×	14 0.2×	108 1.5×	18 0.3×	197 3.1×	35	465
Jinling Liu	88 0.5×	84 1.1×	23 0.3×	27 0.4×	23 0.4×	38	455
Tian Tian	48 0.3×	17 0.2×	27 0.4×	14 0.2×	49 0.8×	40	422
Jennifer R. Head	142 0.8×	16 0.2×	32 0.4×	10 0.1×	77 1.2×	41	517

Countries citing papers authored by C.O. Njoku

Since Specialization

Citations

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

Fields of papers citing papers by C.O. Njoku

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.O. Njoku. 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 C.O. Njoku. The network helps show where C.O. Njoku may publish in the future.

Co-authorship network of co-authors of C.O. Njoku

This figure shows the co-authorship network connecting the top 25 collaborators of C.O. Njoku. A scholar is included among the top collaborators of C.O. Njoku 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 C.O. Njoku. C.O. Njoku 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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