Lynette Rives

1.4k total citations
7 papers, 97 citations indexed

About

Lynette Rives is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Lynette Rives has authored 7 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Lynette Rives's work include Hereditary Neurological Disorders (3 papers), Genomics and Rare Diseases (2 papers) and Neurological diseases and metabolism (2 papers). Lynette Rives is often cited by papers focused on Hereditary Neurological Disorders (3 papers), Genomics and Rare Diseases (2 papers) and Neurological diseases and metabolism (2 papers). Lynette Rives collaborates with scholars based in United States, South Africa and Mali. Lynette Rives's co-authors include Joy D. Cogan, Rizwan Hamid, John A. Phillips, John H. Newman, Mary Koziura, Laura Duncan, Vickie Hannig, Amy K. Robertson, Anna Bican and Jessica Duis and has published in prestigious journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, American Journal of Medical Genetics Part A and Brain Communications.

In The Last Decade

Lynette Rives

7 papers receiving 95 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lynette Rives United States	4	52	33	14	12	11	7	97
Rena A. Godfrey United States	4	54 1.0×	30 0.9×	18 1.3×	12 1.0×	7 0.6×	8	96
Mary Koziura United States	4	70 1.3×	51 1.5×	13 0.9×	14 1.2×	6 0.5×	5	114
Jennifer L. Kemppainen United States	8	50 1.0×	56 1.7×	16 1.1×	15 1.3×	3 0.3×	15	116
Natalie B. Tan Australia	6	69 1.3×	50 1.5×	9 0.6×	8 0.7×	6 0.5×	8	131
Sebastian Röner Germany	3	68 1.3×	84 2.5×	13 0.9×	5 0.4×	7 0.6×	5	160
Charu Kaiwar United States	6	61 1.2×	56 1.7×	11 0.8×	7 0.6×	11 1.0×	10	103
Resham Ejaz Canada	7	42 0.8×	55 1.7×	12 0.9×	10 0.8×	14 1.3×	16	132
Tatiana Perova Russia	6	32 0.6×	69 2.1×	19 1.4×	5 0.4×	10 0.9×	15	148
Maria Concetta Cutrupi Italy	5	44 0.8×	50 1.5×	6 0.4×	10 0.8×	2 0.2×	7	124
Ahmed N. Sahly Saudi Arabia	8	34 0.7×	29 0.9×	18 1.3×	6 0.5×	4 0.4×	14	96

Countries citing papers authored by Lynette Rives

Since Specialization

Citations

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

Fields of papers citing papers by Lynette Rives

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lynette Rives

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

All Works

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7 of 7 papers shown

Tinker, Rory J., Yutaka Furuta, Alican Gulsevin, et al.. (2024). Undiagnosed Disease Network collaborative approach in diagnosing rare disease in a patient with a mosaic CACNA1D variant. American Journal of Medical Genetics Part A. 194(7). e63597–e63597. 1 indexed citations

Rebelo, Adriana, Lassana Cissé, Lynette Rives, et al.. (2023). Novel variant in CADM3 causes Charcot–Marie–Tooth disease. Brain Communications. 5(5). fcad227–fcad227. 2 indexed citations

Furuta, Yutaka, Rory J. Tinker, Alican Gulsevin, et al.. (2023). Probable digenic inheritance of Diamond–Blackfan anemia. American Journal of Medical Genetics Part A. 194(3). e63454–e63454. 3 indexed citations

Furuta, Yutaka, John A. Phillips, Rizwan Hamid, et al.. (2023). A medical odyssey of a 72‐year‐old man with Charcot–Marie–Tooth disease type 2 newly diagnosed with biallelic variants in SORD gene causing sorbitol dehydrogenase deficiency. American Journal of Medical Genetics Part A. 191(12). 2873–2877. 2 indexed citations

Cogan, Joy D., Lynette Rives, Amy K. Robertson, et al.. (2020). Limitations of exome sequencing in detecting rare and undiagnosed diseases. American Journal of Medical Genetics Part A. 182(6). 1400–1406. 53 indexed citations

Duncan, Laura, Lynette Rives, John H. Newman, et al.. (2019). Whole genome sequencing reveals novel IGHMBP2 variant leading to unique cryptic splice‐site and Charcot‐Marie‐Tooth phenotype with early onset symptoms. Molecular Genetics & Genomic Medicine. 7(6). e00676–e00676. 24 indexed citations

Contreras, Robert J., et al.. (1991). Dietary obesity and weight cycling in rats: a model of stress-induced hypertension?. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 261(4). R848–R857. 12 indexed citations

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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