Marlene E. Starr

1.8k total citations
33 papers, 1.2k citations indexed

About

Marlene E. Starr is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Marlene E. Starr has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 15 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Marlene E. Starr's work include Sepsis Diagnosis and Treatment (13 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Immune Response and Inflammation (7 papers). Marlene E. Starr is often cited by papers focused on Sepsis Diagnosis and Treatment (13 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Immune Response and Inflammation (7 papers). Marlene E. Starr collaborates with scholars based in United States, Brazil and Japan. Marlene E. Starr's co-authors include Hiroshi Saitō, B. Mark Evers, Junji Ueda, Arnold J. Stromberg, Hitoshi Takahashi, Masao Kaneki, Donald A. Cohen, Shoji Yamamoto, Charles T. Esmon and Daiki Okamura and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Marlene E. Starr

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marlene E. Starr United States 19 444 278 260 254 156 33 1.2k
Ya‐Ching Hsieh United States 24 487 1.1× 262 0.9× 528 2.0× 163 0.6× 98 0.6× 47 1.5k
Mile Stanojcic Canada 20 670 1.5× 151 0.5× 215 0.8× 260 1.0× 131 0.8× 31 1.2k
Han Fang China 17 393 0.9× 119 0.4× 387 1.5× 361 1.4× 40 0.3× 38 1.2k
Zhaocai Zhang China 20 252 0.6× 109 0.4× 267 1.0× 77 0.3× 96 0.6× 58 971
Hideo Iwasaka Japan 26 307 0.7× 295 1.1× 379 1.5× 304 1.2× 147 0.9× 93 1.9k
Glòria Garrabou Spain 25 423 1.0× 140 0.5× 837 3.2× 271 1.1× 55 0.4× 105 2.1k
Denise Frediani Barbeiro Brazil 20 173 0.4× 245 0.9× 180 0.7× 156 0.6× 52 0.3× 55 996
Vanessa Nomellini United States 16 292 0.7× 403 1.4× 185 0.7× 105 0.4× 116 0.7× 40 1.1k
F. Ulrich Schade Germany 21 435 1.0× 648 2.3× 242 0.9× 95 0.4× 139 0.9× 34 1.3k
Jakob Gjedsted Denmark 21 205 0.5× 121 0.4× 119 0.5× 269 1.1× 69 0.4× 46 1.0k

Countries citing papers authored by Marlene E. Starr

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Marlene E. Starr

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

All Works

20 of 20 papers shown
1.
Kipp, Zachary A., Lauren Weaver, Justin F. Creeden, et al.. (2024). FOXS1 is increased in liver fibrosis and regulates TGFβ responsiveness and proliferation pathways in human hepatic stellate cells. Journal of Biological Chemistry. 300(3). 105691–105691. 9 indexed citations
2.
Bruno, Maria E. C., et al.. (2024). PAI-1 as a critical factor in the resolution of sepsis and acute kidney injury in old age. Frontiers in Cell and Developmental Biology. 11. 1330433–1330433. 4 indexed citations
3.
Ji, Ailing, Victoria P. Noffsinger, Luke W. Meredith, et al.. (2023). Deficiency of Acute-Phase Serum Amyloid A Exacerbates Sepsis-Induced Mortality and Lung Injury in Mice. International Journal of Molecular Sciences. 24(24). 17501–17501. 6 indexed citations
4.
Bissell, Brittany D., et al.. (2023). Assessment of Opioid-Induced Immunomodulation in Experimental and Clinical Sepsis. Critical Care Explorations. 5(1). e0849–e0849. 3 indexed citations
5.
Bruno, M, Sutapa Mukherjee, Lei Wang, et al.. (2023). Sex-Related Effect of Aging in Gingival Gamma-Delta T Cells. Journal of Dental Research. 103(1). 62–70. 3 indexed citations
6.
Bruno, Maria E. C., et al.. (2022). Accumulation of γδ T cells in visceral fat with aging promotes chronic inflammation. GeroScience. 44(3). 1761–1778. 28 indexed citations
7.
Bruno, Maria E. C., et al.. (2021). Visceral fat‐specific regulation of plasminogen activator inhibitor‐1 in aged septic mice. Journal of Cellular Physiology. 237(1). 706–719. 5 indexed citations
8.
McIlwrath, Sabrina L., et al.. (2021). Effect of acetyl-L-carnitine on hypersensitivity in acute recurrent caerulein-induced pancreatitis and microglial activation along the brain’s pain circuitry. World Journal of Gastroenterology. 27(9). 794–814. 7 indexed citations
9.
Owen, Allison M., Samir P. Patel, Jeffrey D. Smith, et al.. (2019). Chronic muscle weakness and mitochondrial dysfunction in the absence of sustained atrophy in a preclinical sepsis model. eLife. 8. 89 indexed citations
10.
11.
Starr, Marlene E., et al.. (2014). A New Cecal Slurry Preparation Protocol with Improved Long-Term Reproducibility for Animal Models of Sepsis. PLoS ONE. 9(12). e115705–e115705. 138 indexed citations
12.
Starr, Marlene E.. (2014). Sepsis in Old Age: Review of Human and Animal Studies. Aging and Disease. 5(2). 126–36. 101 indexed citations
13.
Starr, Marlene E., et al.. (2014). Age-Associated Increase in Cytokine Production During Systemic Inflammation—II: The Role of IL-1β in Age-Dependent IL-6 Upregulation in Adipose Tissue. The Journals of Gerontology Series A. 70(12). 1508–1515. 64 indexed citations
14.
Mustain, W. Conan, Marlene E. Starr, Joseph Valentino, et al.. (2013). Inflammatory Cytokine Gene Expression in Mesenteric Adipose Tissue during Acute Experimental Colitis. PLoS ONE. 8(12). e83693–e83693. 8 indexed citations
15.
Okamura, Daiki, Marlene E. Starr, Eun Y. Lee, et al.. (2012). Age‐dependent vulnerability to experimental acute pancreatitis is associated with increased systemic inflammation and thrombosis. Aging Cell. 11(5). 760–769. 22 indexed citations
16.
17.
Takahashi, Hitoshi, Daiki Okamura, Marlene E. Starr, Hiroshi Saitō, & B. Mark Evers. (2011). Age‐dependent reduction of the PI3K regulatory subunit p85α suppresses pancreatic acinar cell proliferation. Aging Cell. 11(2). 305–314. 15 indexed citations
18.
Starr, Marlene E., Junji Ueda, Shoji Yamamoto, B. Mark Evers, & Hiroshi Saitō. (2010). The effects of aging on pulmonary oxidative damage, protein nitration, and extracellular superoxide dismutase down-regulation during systemic inflammation. Free Radical Biology and Medicine. 50(2). 371–380. 60 indexed citations
19.
Starr, Marlene E., B. Mark Evers, & Hiroshi Saitō. (2009). Age-Associated Increase in Cytokine Production During Systemic Inflammation: Adipose Tissue as a Major Source of IL-6. The Journals of Gerontology Series A. 64A(7). 723–730. 127 indexed citations
20.
Ueda, Junji, Marlene E. Starr, Hitoshi Takahashi, et al.. (2008). Decreased pulmonary extracellular superoxide dismutase during systemic inflammation. Free Radical Biology and Medicine. 45(6). 897–904. 46 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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