Marlene Niefeld

1.6k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Marlene Niefeld is a scholar working on General Health Professions, Sociology and Political Science and Epidemiology. According to data from OpenAlex, Marlene Niefeld has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in General Health Professions, 2 papers in Sociology and Political Science and 2 papers in Epidemiology. Recurrent topics in Marlene Niefeld's work include Global Health Care Issues (4 papers), Healthcare Policy and Management (2 papers) and Migration, Aging, and Tourism Studies (2 papers). Marlene Niefeld is often cited by papers focused on Global Health Care Issues (4 papers), Healthcare Policy and Management (2 papers) and Migration, Aging, and Tourism Studies (2 papers). Marlene Niefeld collaborates with scholars based in United States and United Kingdom. Marlene Niefeld's co-authors include Albert W. Wu, Wendy E. Weller, Gerard F. Anderson, Joel B. Braunstein, Gary Gerstenblith, Robert J. Herbert, Julie Bynum, Peter V. Rabins, Judith Feder and Harriet Komisar and has published in prestigious journals such as Journal of the American College of Cardiology, Diabetes Care and Journal of the American Geriatrics Society.

In The Last Decade

Marlene Niefeld

8 papers receiving 1.2k citations

Hit Papers

Noncardiac comorbidity increases preventable hospitalizat... 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marlene Niefeld United States 6 523 422 300 215 202 8 1.2k
W. David Bradford United States 12 536 1.0× 294 0.7× 124 0.4× 224 1.0× 91 0.5× 30 1.3k
Duncan Edwards United Kingdom 14 252 0.5× 264 0.6× 473 1.6× 211 1.0× 133 0.7× 32 1.1k
Kanan Patel United States 26 953 1.8× 337 0.8× 188 0.6× 105 0.5× 152 0.8× 55 1.7k
Sarah Hardoon United Kingdom 14 242 0.5× 198 0.5× 157 0.5× 262 1.2× 329 1.6× 24 1.1k
Marisue Cody United States 17 364 0.7× 364 0.9× 150 0.5× 117 0.5× 141 0.7× 33 1.2k
Kenneth Pietz United States 21 205 0.4× 537 1.3× 205 0.7× 475 2.2× 77 0.4× 39 1.5k
Martha N. Hill United States 13 423 0.8× 230 0.5× 94 0.3× 115 0.5× 144 0.7× 19 975
S Ebrahim United Kingdom 13 300 0.6× 233 0.6× 143 0.5× 176 0.8× 56 0.3× 23 1.2k
Olivier Saint‐Jean France 21 186 0.4× 489 1.2× 240 0.8× 196 0.9× 447 2.2× 76 1.3k
Corrine Y. Jurgens United States 24 1.3k 2.4× 192 0.5× 214 0.7× 116 0.5× 77 0.4× 75 1.7k

Countries citing papers authored by Marlene Niefeld

Since Specialization
Citations

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

Fields of papers citing papers by Marlene Niefeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlene Niefeld

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

All Works

8 of 8 papers shown
1.
Liu, Korbin, Joshua M. Wiener, & Marlene Niefeld. (2006). End of life Medicare and Medicaid expenditures for dually eligible beneficiaries.. PubMed. 27(4). 95–110. 13 indexed citations
2.
Niefeld, Marlene & Judith D. Kasper. (2005). Access to Ambulatory Medical and Long-Term Care Services Among Elderly Medicare and Medicaid Beneficiaries: Organizational, Financial, and Geographic Barriers. Medical Care Research and Review. 62(3). 300–319. 31 indexed citations
3.
Bynum, Julie, Peter V. Rabins, Wendy E. Weller, et al.. (2005). The relationship between a dementia diagnosis, chronic illness, medicare expenditures, and hospital use. 10. 160–164. 2 indexed citations
4.
Bynum, Julie, Peter V. Rabins, Wendy E. Weller, et al.. (2004). The Relationship Between a Dementia Diagnosis, Chronic Illness, Medicare Expenditures, and Hospital Use. Journal of the American Geriatrics Society. 52(2). 187–194. 330 indexed citations
5.
Braunstein, Joel B., Gerard F. Anderson, Gary Gerstenblith, et al.. (2003). Noncardiac comorbidity increases preventable hospitalizations and mortality among medicare beneficiaries with chronic heart failure. Journal of the American College of Cardiology. 42(7). 1226–1233. 603 indexed citations breakdown →
6.
Niefeld, Marlene, Joel B. Braunstein, Albert W. Wu, et al.. (2003). Preventable Hospitalization Among Elderly Medicare Beneficiaries With Type 2 Diabetes. Diabetes Care. 26(5). 1344–1349. 96 indexed citations
7.
Feder, Judith, Harriet Komisar, & Marlene Niefeld. (2000). Long-Term Care In The United States: An Overview. Health Affairs. 19(3). 40–56. 141 indexed citations
8.
Feder, Judith, Harriet Komisar, & Marlene Niefeld. (2000). Long-Term Care In The United States: An. 3 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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