Marlene E. Starr

1.8k citations
33 papers · 1.2k · h-index 19

Impact in

Papers in

    • Sepsis Diagnosis and Treatment 13
    • Adipokines, Inflammation, and Metabolic Diseases 8
    • Immune Response and Inflammation 7
    • Immune Cell Function and Interaction 4

Marlene E. Starr

33 papers receiving 1.1k citations

Peers

Marlene E. Starr
Comparison fields: 5 of 111
  • Critical Care and Intensive Care Medicine 156
  • Geriatrics and Gerontology 61
  • Immunology 278
  • Aging 23
  • Epidemiology 444
Replace Ya‐Ching Hsieh with:
Ya‐Ching Hsieh United States
Han Fang China
Vanessa Nomellini United States
Glòria Garrabou Spain
Lambertus J. van Tits Netherlands
Hideo Iwasaka Japan
Arsun Bektas United States
Clément Gaudin France
Kun‐Lun Huang Taiwan
Mile Stanojcic Canada
Marlene E. Starr relative to Ya‐Ching Hsieh United States Ya‐Ching Hsieh's profile →
Citations per field
00.5×4.6×
Ya‐Ching Hsieh · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014138
2 2009127
3 2014117
4 2014101
5 201989
6 201464
7 201060
8 201058
9 200846
10 201236
11 201633
12 201530
13 202228
14 201226
15 202123
16 201822
17 201222
18 201221
19 201419
20 201115

About Marlene E. Starr

Marlene E. Starr is a scholar working on Epidemiology, Immunology, Molecular Biology, Physiology and Critical Care and Intensive Care Medicine, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (13 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Immune Response and Inflammation (7 papers), Adipose Tissue and Metabolism (5 papers), Immune Cell Function and Interaction (4 papers), Vitamin C and Antioxidants Research (3 papers), Pancreatitis Pathology and Treatment (2 papers) and Respiratory Support and Mechanisms (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (156 citations), Geriatrics and Gerontology (61 citations), Immunology (278 citations), Aging (23 citations) and Epidemiology (444 citations). Marlene E. Starr has collaborated with scholars based in United States, Brazil and Japan. 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 Shock, Aging Cell, The Journals of Gerontology Series A, 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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