Marlene E. Starr

1.9k citations
32 papers · 1.5k · h-index 20

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Sepsis Diagnosis and Treatment
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

    • Sepsis Diagnosis and Treatment 13
    • Adipokines, Inflammation, and Metabolic Diseases 8
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • T-cell and B-cell Immunology 2

Marlene E. Starr

32 papers receiving 1.5k citations

Peers

Marlene E. Starr
Comparison fields: 5 of 101
  • Aging 58
  • Epidemiology 547
  • Geriatrics and Gerontology 58
  • Endocrine and Autonomic Systems 63
  • Biological Psychiatry 12
Replace Pernille Keller with:
Pernille Keller Denmark
Diana C. Albarado United States
Per-Olof J. Hasselgren United States
Xiaokun Gang China
Ingrid Klöting Germany
Lambertus J. van Tits Netherlands
Kate Kosmac United States
Emidio Edward Pistilli United States
Andrew R. Judge United States
Ulrika Raue United States
Marlene E. Starr relative to Pernille Keller Denmark Pernille Keller's profile →
Citations per field
00.5×2×3.1×
Pernille Keller · 1×
Citations per year

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-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.

Border = papers with Marlene E. Starr Line = papers co-authored together Marlene E. Starr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016220
2 2014153
3 2009131
4 2014126
5 2014114
6 2019104
7 201071
8 201471
9 201064
10 200850
11 201642
12 201238
13 202237
14 201534
15 201230
16 201228
17 202125
18 201222
19 201422
20 201822

About Marlene E. Starr

Marlene E. Starr is a scholar working on Epidemiology, Immunology, Physiology, Hematology and Aging, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (13 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Pancreatic function and diabetes (2 papers), T-cell and B-cell Immunology (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Redox biology and oxidative stress (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Aging (58 citations), Epidemiology (547 citations), Geriatrics and Gerontology (58 citations), Endocrine and Autonomic Systems (63 citations) and Biological Psychiatry (12 citations). Marlene E. Starr has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Hiroshi Saitō, Bernard Mark Evers, Junji Ueda, Arnold J. Stromberg, Shoji Yamamoto, Donald A. Cohen, Masao Kaneki, Daiki Okamura, Hitoshi Takahashi and Charles T. Esmon. Their work appears in journals such as The Journals of Gerontology Series A, Aging Cell, Shock, Free Radical Biology and Medicine and PLoS ONE.

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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