Rosemary Ikem

81 total papers · 534 total citations
43 papers, 386 citations indexed

About

Rosemary Ikem is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Rosemary Ikem has authored 43 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Epidemiology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Rosemary Ikem's work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Diabetes Management and Research (9 papers) and Liver Disease Diagnosis and Treatment (6 papers). Rosemary Ikem is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Diabetes Management and Research (9 papers) and Liver Disease Diagnosis and Treatment (6 papers). Rosemary Ikem collaborates with scholars based in Nigeria, Zambia and Kenya. Rosemary Ikem's co-authors include Babatope Kolawole, Kolawole S. Mosaku, David Soyoye, Aaron O. Aboderin, Adeseye A. Akintunde, Ejiofor Ugwu, A.E Ohwovoriole, Taofeek O. Awotidebe, Kehinde Sunday Oluwadiya and Rufus Adesoji Adedoyin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Quality of Life Research and Postgraduate Medical Journal.

In The Last Decade

Rosemary Ikem

38 papers receiving 350 citations

Author Peers

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

Author						Papers	Cites
Rosemary Ikem	276	109	53	47	33	43	386
Natapong Kosachunhanun	306 1.1×	66 0.6×	71 1.3×	75 1.6×	52 1.6×	40	436
José Javier Mediavilla Bravo	284 1.0×	66 0.6×	21 0.4×	46 1.0×	42 1.3×	43	439
Bogdan Vlacho	279 1.0×	69 0.6×	23 0.4×	62 1.3×	57 1.7×	56	433
Rui Carvalho	176 0.6×	51 0.5×	132 2.5×	61 1.3×	15 0.5×	43	376
Francisco Pomares	198 0.7×	83 0.8×	14 0.3×	110 2.3×	24 0.7×	34	375
José Mancera‐Romero	218 0.8×	76 0.7×	19 0.4×	49 1.0×	82 2.5×	25	382
Petch Rawdaree	249 0.9×	80 0.7×	15 0.3×	42 0.9×	64 1.9×	37	411
Selda Çelik	151 0.5×	62 0.6×	14 0.3×	35 0.7×	17 0.5×	62	442
Xia Y	75 0.3×	131 1.2×	38 0.7×	30 0.6×	38 1.2×	39	425
Ozra Akha	176 0.6×	31 0.3×	17 0.3×	38 0.8×	19 0.6×	45	363

Countries citing papers authored by Rosemary Ikem

Since Specialization

Citations

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

Fields of papers citing papers by Rosemary Ikem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosemary Ikem

This figure shows the co-authorship network connecting the top 25 collaborators of Rosemary Ikem. A scholar is included among the top collaborators of Rosemary Ikem 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 Rosemary Ikem. Rosemary Ikem 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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