Rubina Rizvi

54 total papers · 452 total citations
28 papers, 253 citations indexed

About

Rubina Rizvi is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and General Health Professions. According to data from OpenAlex, Rubina Rizvi has authored 28 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 6 papers in Molecular Biology and 5 papers in General Health Professions. Recurrent topics in Rubina Rizvi's work include Biomedical Text Mining and Ontologies (6 papers), Electronic Health Records Systems (4 papers) and Nutrition, Genetics, and Disease (3 papers). Rubina Rizvi is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Electronic Health Records Systems (4 papers) and Nutrition, Genetics, and Disease (3 papers). Rubina Rizvi collaborates with scholars based in United States, Brazil and China. Rubina Rizvi's co-authors include Terrence J Adam, Genevieve B. Melton, Rui Zhang, Jiang Bian, Gretchen Hultman, Gretchen Purcell Jackson, Kelly Jean Thomas Craig, Jenna L. Marquard, Zhe He and William J. Kassler and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Medical Internet Research.

In The Last Decade

Rubina Rizvi

24 papers receiving 249 citations

Author Peers

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

Author						Papers	Cites
Rubina Rizvi	64	50	50	45	42	28	253
Eli M. Cahan	49 0.8×	27 0.5×	22 0.4×	61 1.4×	38 0.9×	31	308
Chen Liang	85 1.3×	27 0.5×	36 0.7×	36 0.8×	76 1.8×	56	332
Lucy Hederman	37 0.6×	29 0.6×	47 0.9×	35 0.8×	61 1.5×	33	238
Vinícius Lima	28 0.4×	32 0.6×	31 0.6×	15 0.3×	32 0.8×	35	180
Anya Okhmatovskaia	58 0.9×	33 0.7×	26 0.5×	41 0.9×	52 1.2×	27	305
Omar B. Da’ar	64 1.0×	25 0.5×	13 0.3×	53 1.2×	7 0.2×	28	307
Nicholas D. Soulakis	109 1.7×	23 0.5×	74 1.5×	39 0.9×	31 0.7×	18	275
Lu He	44 0.7×	20 0.4×	10 0.2×	29 0.6×	60 1.4×	31	320
Filipe Andrade Bernardi	33 0.5×	18 0.4×	20 0.4×	16 0.4×	26 0.6×	35	170
Fahmi Y. Al-Ashwal	28 0.4×	24 0.5×	12 0.2×	22 0.5×	56 1.3×	21	311

Countries citing papers authored by Rubina Rizvi

Since Specialization

Citations

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

Fields of papers citing papers by Rubina Rizvi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubina Rizvi

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