Marjorie Risman

761 total citations
9 papers, 366 citations indexed

About

Marjorie Risman is a scholar working on Surgery, Genetics and Orthopedics and Sports Medicine. According to data from OpenAlex, Marjorie Risman has authored 9 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Genetics and 3 papers in Orthopedics and Sports Medicine. Recurrent topics in Marjorie Risman's work include Foot and Ankle Surgery (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Tendon Structure and Treatment (3 papers). Marjorie Risman is often cited by papers focused on Foot and Ankle Surgery (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Tendon Structure and Treatment (3 papers). Marjorie Risman collaborates with scholars based in United States. Marjorie Risman's co-authors include Jacqueline T. Hecht, Allison M. Scott, Dennis A. Johnston, Daniel J. Rader, Marina Cuchel, Liming Qu, Anandita Agarwala, Jeffrey T. Billheimer, Mary McCoy and Kevin Trindade and has published in prestigious journals such as Circulation, Kidney International and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Marjorie Risman

9 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marjorie Risman United States	7	132	111	74	72	62	9	366
Youichi Sugioka Japan	10	183 1.4×	216 1.9×	6 0.1×	18 0.3×	9 0.1×	25	421
Seema Rohilla India	12	37 0.3×	192 1.7×	4 0.1×	10 0.1×	6 0.1×	46	363
Philipp Hahn Germany	11	16 0.1×	142 1.3×	19 0.3×	6 0.1×	4 0.1×	27	452
Dalal Bubshait Saudi Arabia	8	50 0.4×	93 0.8×	3 0.0×	7 0.1×	4 0.1×	20	280
M L Loro United States	7	346 2.6×	185 1.7×		37 0.5×	57 0.9×	8	536
Anna Darelid Sweden	10	347 2.6×	170 1.5×		43 0.6×	25 0.4×	13	461
A. Kotaniemi Finland	6	134 1.0×	99 0.9×	1 0.0×	46 0.6×	7 0.1×	9	343
Leslie Preger United States	12	9 0.1×	146 1.3×	16 0.2×	13 0.2×	5 0.1×	25	366
Robert Rudäng Sweden	8	314 2.4×	167 1.5×		32 0.4×	25 0.4×	11	427
Satoru Ikenoue Japan	14	24 0.2×	137 1.2×		49 0.7×	18 0.3×	59	558

Countries citing papers authored by Marjorie Risman

Since Specialization

Citations

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

Fields of papers citing papers by Marjorie Risman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjorie Risman

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

All Works

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9 of 9 papers shown

Risman, Marjorie, et al.. (2024). Estimated clinical utility of multi-gene pharmacogenetic testing in a retrospective cohort of gynecology patients. Pharmacogenomics. 25(14-15). 587–594. 1 indexed citations

Risman, Marjorie, et al.. (2023). Abstract 17566: Prevalence of Lipoprotein(a) Testing Among Patients With CAD: A 10-year Retrospective Analysis at The University of Pennsylvania Health Systems. Circulation. 148(Suppl_1). 2 indexed citations

Verma, Shefali S., Binglan Li, Marjorie Risman, et al.. (2022). Evaluating the frequency and the impact of pharmacogenetic alleles in an ancestrally diverse Biobank population. Journal of Translational Medicine. 20(1). 550–550. 16 indexed citations

Lee, Paul C., Archna Bajaj, Marina Cuchel, et al.. (2021). Implementation of a Machine-Learning Algorithm in the Electronic Health Record for Targeted Screening for Familial Hypercholesterolemia: A Quality Improvement Study. Circulation Cardiovascular Quality and Outcomes. 14(6). e007641–e007641. 17 indexed citations

Bajaj, Archna, Chengxiang Qiu, Aeron Small, et al.. (2020). Phenome-wide association analysis suggests the APOL1 linked disease spectrum primarily drives kidney-specific pathways. Kidney International. 97(5). 1032–1041. 17 indexed citations

Agarwala, Anandita, Amrith Rodrigues, Marjorie Risman, et al.. (2015). High-Density Lipoprotein (HDL) Phospholipid Content and Cholesterol Efflux Capacity Are Reduced in Patients With Very High HDL Cholesterol and Coronary Disease. Arteriosclerosis Thrombosis and Vascular Biology. 35(6). 1515–1519. 86 indexed citations

Andrade, Mariza de, et al.. (1998). Segregation analysis of idiopathic talipes equinovarus in a Texan population. American Journal of Medical Genetics. 79(2). 97–102. 45 indexed citations

Johnston, Dennis A., et al.. (1998). Genetic epidemiology study of idiopathic talipes equinovarus. American Journal of Medical Genetics. 79(2). 90–96. 12 indexed citations

Johnston, Dennis A., et al.. (1998). Genetic epidemiology study of idiopathic talipes equinovarus. American Journal of Medical Genetics. 79(2). 90–96. 170 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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