Marlene E. Starr
Impact in
-
- Intensive Care Unit Cognitive Disorders
- Geriatrics and Gerontology top 5%
Papers in
- Epidemiology 19
- Sepsis Diagnosis and Treatment 12
- Adipokines, Inflammation, and Metabolic Diseases 7
- Immunology 14
- Immune Response and Inflammation 7
- Immune Cell Function and Interaction 4
- Biomarkers in Disease Mechanisms 2
- T-cell and B-cell Immunology 2
- Co-authors
- Hiroshi Saitō (22 shared papers)B. Mark Evers (12 shared papers)Junji Ueda (4 shared papers)Arnold J. Stromberg (9 shared papers)Hitoshi Takahashi (4 shared papers)Masao Kaneki (2 shared papers)Shoji Yamamoto (1 shared paper)Donald A. Cohen (4 shared papers)
- Journals
- Aging Cell (3 papers)The Journals of Gerontology Series A (3 papers)Shock (3 papers)PLoS ONE (2 papers)Free Radical Biology and Medicine (2 papers)
- Partner nations
- United StatesJapanBrazil
In The Last Decade
Marlene E. Starr
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Critical Care and Intensive Care Medicine 114
- Geriatrics and Gerontology 53
- Aging 24
- Immunology 255
- Epidemiology 374
Countries citing papers authored by Marlene E. Starr
This map shows the geographic impact of Marlene E. Starr'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 E. Starr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marlene E. Starr more than expected).
Fields of papers citing papers by Marlene E. Starr
This network shows the impact of papers produced by Marlene E. Starr. 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 E. Starr. The network helps show where Marlene E. Starr may publish in the future.
Co-authors
The 25 scholars most cited alongside Marlene E. Starr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 143 | |
| 2 | 2009 | 130 | |
| 3 | 2014 | 122 | |
| 4 | 2014 | 104 | |
| 5 | 2019 | 96 | |
| 6 | 2010 | 69 | |
| 7 | 2014 | 66 | |
| 8 | 2010 | 63 | |
| 9 | 2008 | 49 | |
| 10 | 2012 | 38 | |
| 11 | 2016 | 34 | |
| 12 | 2022 | 32 | |
| 13 | 2015 | 32 | |
| 14 | 2012 | 28 | |
| 15 | 2012 | 27 | |
| 16 | 2021 | 26 | |
| 17 | 2018 | 22 | |
| 18 | 2012 | 22 | |
| 19 | 2014 | 20 | |
| 20 | Effect of Salmonella typhimurium endotoxin on PGF-2 alpha release and fetal death in the mare. | 1987 | 19 |
About Marlene E. Starr
Marlene E. Starr is a scholar working on Epidemiology, Immunology, Molecular Biology, Physiology and Nutrition and Dietetics, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (12 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Immune Response and Inflammation (7 papers), Immune Cell Function and Interaction (4 papers), Adipose Tissue and Metabolism (4 papers), Vitamin C and Antioxidants Research (3 papers), Biomarkers in Disease Mechanisms (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (114 citations), Geriatrics and Gerontology (53 citations), Aging (24 citations), Immunology (255 citations) and Epidemiology (374 citations). Marlene E. Starr has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Hiroshi Saitō, B. Mark Evers, Junji Ueda, Arnold J. Stromberg, Hitoshi Takahashi, Masao Kaneki, Shoji Yamamoto, Donald A. Cohen, Daiki Okamura and Charles T. Esmon. Their work appears in journals such as Aging Cell, The Journals of Gerontology Series A, Shock, PLoS ONE and Free Radical Biology and Medicine.
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.