Linda Resar

715 total citations
9 papers, 326 citations indexed

About

Linda Resar is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Linda Resar has authored 9 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Hematology. Recurrent topics in Linda Resar's work include Hemoglobinopathies and Related Disorders (3 papers), Acute Myeloid Leukemia Research (2 papers) and Iron Metabolism and Disorders (2 papers). Linda Resar is often cited by papers focused on Hemoglobinopathies and Related Disorders (3 papers), Acute Myeloid Leukemia Research (2 papers) and Iron Metabolism and Disorders (2 papers). Linda Resar collaborates with scholars based in United States and Belgium. Linda Resar's co-authors include Raymond Reeves, Michael D. Williams, Herbert H. Hill, Amy E. DeZern, Michael J. Borowitz, Robert A. Brodsky, Heather J. Symons, Michael R. DeBaun, Mary Armanios and Roland R. Lee and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Linda Resar

8 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linda Resar United States	7	167	150	97	41	37	9	326
Kathryn McElhinney United States	10	180 1.1×	137 0.9×	57 0.6×	48 1.2×	45 1.2×	26	298
Jonathan Langdown United Kingdom	11	246 1.5×	101 0.7×	76 0.8×	22 0.5×	16 0.4×	16	399
Terukazu Enami Japan	10	76 0.5×	39 0.3×	76 0.8×	28 0.7×	53 1.4×	16	225
Steve Abella United States	9	62 0.4×	133 0.9×	110 1.1×	38 0.9×	68 1.8×	21	386
Atsushi Muto Japan	11	358 2.1×	135 0.9×	161 1.7×	13 0.3×	89 2.4×	29	705
Tarun Sharma India	10	70 0.4×	40 0.3×	116 1.2×	19 0.5×	50 1.4×	21	372
Emma Searle United Kingdom	11	104 0.6×	47 0.3×	104 1.1×	10 0.2×	91 2.5×	28	359
Ari Pelcovits United States	7	110 0.7×	29 0.2×	121 1.2×	14 0.3×	68 1.8×	23	264
W. Jeffrey Baker United States	8	84 0.5×	109 0.7×	64 0.7×	38 0.9×	74 2.0×	12	319

Countries citing papers authored by Linda Resar

Since Specialization

Citations

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

Fields of papers citing papers by Linda Resar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Resar

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Yuan, Ming, David T. White, Linda Resar, et al.. (2020). Conditional reprogramming culture conditions facilitate growth of lower-grade glioma models. Neuro-Oncology. 23(5). 770–782. 20 indexed citations

Spivak, Jerry L., Akil Merchant, Donna M. Williams, et al.. (2020). Thrombopoietin is required for full phenotype expression in a JAK2V617F transgenic mouse model of polycythemia vera. PLoS ONE. 15(6). e0232801–e0232801. 10 indexed citations

Carleton, Neil, Guangjing Zhu, Linda Resar, et al.. (2016). Abstract 3922: Prediction of breast cancer progression using nuclear morphometry. Cancer Research. 76(14_Supplement). 3922–3922.

DeZern, Amy E., Heather J. Symons, Linda Resar, et al.. (2014). Detection of paroxysmal nocturnal hemoglobinuria clones to exclude inherited bone marrow failure syndromes. European Journal Of Haematology. 92(6). 467–470. 36 indexed citations

Williams, Michael D., Raymond Reeves, Linda Resar, & Herbert H. Hill. (2013). Metabolomics of colorectal cancer: past and current analytical platforms. Analytical and Bioanalytical Chemistry. 405(15). 5013–5030. 45 indexed citations

Karp, Judith E., Benjamin D. Smith, Linda Resar, et al.. (2011). Phase 1 and pharmacokinetic study of bolus-infusion flavopiridol followed by cytosine arabinoside and mitoxantrone for acute leukemias. Blood. 117(12). 3302–3310. 67 indexed citations

Hulbert, Monica L., Douglas J. Scothorn, Julie A. Panepinto, et al.. (2006). Exchange blood transfusion compared with simple transfusion for first overt stroke is associated with a lower risk of subsequent stroke: A retrospective cohort study of 137 children with sickle cell anemia. The Journal of Pediatrics. 149(5). 710–712. 99 indexed citations

Schatz, Jeffrey, et al.. (1999). Neuropsychologic Deficits in Children with Sickle Cell Disease and Cerebral Infarction: Role of Lesion Site and Volume. Child Neuropsychology. 5(2). 92–103. 47 indexed citations

King, Allison A., et al.. (1998). Is There a Genetic Basis to Stroke in Children with Sickle Cell Disease?† 773. Pediatric Research. 43. 134–134. 2 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.

Explore authors with similar magnitude of impact