Marsha Richardson

950 total citations
17 papers, 746 citations indexed

About

Marsha Richardson is a scholar working on General Health Professions, Rheumatology and Economics and Econometrics. According to data from OpenAlex, Marsha Richardson has authored 17 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 5 papers in Rheumatology and 4 papers in Economics and Econometrics. Recurrent topics in Marsha Richardson's work include Patient-Provider Communication in Healthcare (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Patient Satisfaction in Healthcare (3 papers). Marsha Richardson is often cited by papers focused on Patient-Provider Communication in Healthcare (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Patient Satisfaction in Healthcare (3 papers). Marsha Richardson collaborates with scholars based in United States, Vietnam and Australia. Marsha Richardson's co-authors include María E. Suarez‐Almazor, Donald M. Marcus, Namieta M. Janssen, Vanessa Cox, John D. Reveille, Richard L. Street, Barbara F. Sharf, Araceli García-González, Michael A. Kallen and Kimberly J. OʼMalley and has published in prestigious journals such as Blood, The British Journal of Psychiatry and Journal of Clinical Epidemiology.

In The Last Decade

Marsha Richardson

17 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marsha Richardson United States 12 281 205 118 110 109 17 746
Elizabeth Salt United States 14 158 0.6× 74 0.4× 106 0.9× 92 0.8× 51 0.5× 38 591
Amye Leong United States 17 411 1.5× 203 1.0× 28 0.2× 67 0.6× 82 0.8× 34 799
Chris Tonner United States 17 492 1.8× 147 0.7× 26 0.2× 50 0.5× 48 0.4× 26 831
Simone Gorter Netherlands 20 322 1.1× 157 0.8× 135 1.1× 118 1.1× 43 0.4× 39 1.1k
Edward Yelin United States 14 567 2.0× 150 0.7× 20 0.2× 29 0.3× 46 0.4× 19 807
Heidi C. Waters United States 16 85 0.3× 46 0.2× 40 0.3× 93 0.8× 52 0.5× 62 572
Mohsen Gadallah Egypt 17 50 0.2× 78 0.4× 26 0.2× 56 0.5× 39 0.4× 61 785
Tara Albrecht United States 12 133 0.5× 46 0.2× 136 1.2× 23 0.2× 67 0.6× 38 914
Jie Kie Phang Singapore 15 126 0.4× 114 0.6× 127 1.1× 29 0.3× 77 0.7× 42 560
Janalee Taylor United States 16 227 0.8× 87 0.4× 15 0.1× 64 0.6× 41 0.4× 27 744

Countries citing papers authored by Marsha Richardson

Since Specialization
Citations

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

Fields of papers citing papers by Marsha Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marsha Richardson

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

All Works

17 of 17 papers shown
1.
Rojas‐Hernandez, Cristhiam M., et al.. (2019). Development of a clinical prediction tool for cancer-associated venous thromboembolism (CAT): the MD Anderson Cancer Center CAT model. Supportive Care in Cancer. 28(8). 3755–3761. 9 indexed citations
2.
3.
Escalante, Carmen P., et al.. (2017). Modified Khorana Models for Prediction of Cancer-Associated Venous Thromboembolism: An Exploratory Study. Blood. 130. 4635–4635. 2 indexed citations
4.
Escalante, Carmen P., Gregory W. Gladish, Wei Qiao, et al.. (2017). Prospective cohort study of cancer patients diagnosed with incidental venous thromboembolism on routine computed tomography scans. Supportive Care in Cancer. 25(5). 1571–1577. 7 indexed citations
5.
Street, Richard L., Andrea Barbo, Heather Lin, et al.. (2015). Affective Tone in Medical Encounters and Its Relationship With Treatment Adherence in a Multiethnic Cohort of Patients With Rheumatoid Arthritis. JCR Journal of Clinical Rheumatology. 21(4). 181–188. 6 indexed citations
6.
Achaval, Sofia de, Vanessa Cox, Araceli García-González, et al.. (2013). Electronic Monitoring of Oral Therapies in Ethnically Diverse and Economically Disadvantaged Patients With Rheumatoid Arthritis: Consequences of Low Adherence. Arthritis & Rheumatism. 65(6). 1421–1429. 88 indexed citations
7.
Suarez‐Almazor, María E., et al.. (2010). A Qualitative Analysis of Decision-Making for Total Knee Replacement in Patients With Osteoarthritis. JCR Journal of Clinical Rheumatology. 16(4). 158–163. 63 indexed citations
8.
Street, Richard L., Marsha Richardson, Vanessa Cox, & María E. Suarez‐Almazor. (2008). (Mis)understanding in patient‐health care provider communication about total knee replacement. Arthritis Care & Research. 61(1). 100–107. 49 indexed citations
9.
García-González, Araceli, Marsha Richardson, Vanessa Cox, et al.. (2008). Treatment adherence in patients with rheumatoid arthritis and systemic lupus erythematosus. Clinical Rheumatology. 27(7). 883–889. 104 indexed citations
10.
Richardson, Marsha, et al.. (2007). "Keep on truckin'" or "It's got you in this little vacuum": race-based perceptions in decision-making for total knee arthroplasty.. PubMed. 34(5). 1069–75. 27 indexed citations
11.
Street, Richard L., Michael A. Kallen, Marsha Richardson, et al.. (2006). Trust in physicians and elements of the medical interaction in patients with rheumatoid arthritis and systemic lupus erythematosus. Arthritis Care & Research. 55(3). 385–393. 104 indexed citations
12.
Byrne, Margaret M., Julianne Souchek, Marsha Richardson, & María E. Suarez‐Almazor. (2006). Racial/ethnic differences in preferences for total knee replacement surgery. Journal of Clinical Epidemiology. 59(10). 1078–1086. 57 indexed citations
13.
Souchek, Julianne, Margaret M. Byrne, P. Adam Kelly, et al.. (2005). Valuation of Arthritis Health States Across Ethnic Groups and Between Patients and Community Members. Medical Care. 43(9). 921–928. 24 indexed citations
14.
Greisinger, Anthony, Marsha Richardson, Kimberly J. OʼMalley, et al.. (2003). Determinants of treatment adherence in ethnically diverse, economically disadvantaged patients with rheumatic disease.. PubMed. 32(3). 103–122. 110 indexed citations
15.
Welner, Amos, et al.. (1973). Psychiatric symptoms in white and black inpatients. I: Record study. Comprehensive Psychiatry. 14(6). 475–481. 35 indexed citations
16.
Welner, Amos, et al.. (1972). Undiagnosed Psychiatric Patients Part 1: Record Study. The British Journal of Psychiatry. 120(556). 315–319. 20 indexed citations
17.
Robins, Lee N., et al.. (1972). An Actuarial Method for Assessing the Direction of Influence Between Two Datable Life Events. Sociological Methods & Research. 1(2). 243–270. 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.

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