Murat Köse

1.4k citations
64 papers · 903 · h-index 15

Impact in

Papers in

    • COVID-19 Clinical Research Studies 12
    • SARS-CoV-2 and COVID-19 Research 4
    • Inflammation biomarkers and pathways 5
    • Complement system in diseases 2

Murat Köse

56 papers receiving 886 citations

Peers

Murat Köse
Comparison fields: 5 of 79
  • Geriatrics and Gerontology 46
  • Physiology 306
  • Immunology 167
  • Infectious Diseases 134
  • Neurology 56
Replace Christian Labenz with:
Christian Labenz Germany
Eduardo López Briz Spain
Siva Senthuran Australia
Judith Marín‐Corral Spain
Joseph C. Kidney United Kingdom
David Tak Wai Lui Hong Kong
Jeremy M. D. Nightingale United Kingdom
Naoharu Mori Japan
Martin Stotz Switzerland
Giancarlo Micheletto Italy
Murat Köse relative to Christian Labenz Germany Christian Labenz's profile →
Citations per field
00.5×11×
Christian Labenz · 1×
Citations per year

Countries citing papers authored by Murat Köse

Since Specialization
Citations

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

Fields of papers citing papers by Murat Köse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Murat Köse, 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 Murat Köse Line = papers co-authored together Murat Köse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016286
2 201479
3 202055
4 201544
5
Interferon-gamma assays for the diagnosis of tuberculosis infection before using tumour necrosis factor-alpha blockers.
200743
6 201841
7 202129
8 201526
9 201825
10 202023
11 200919
12 202017
13 201416
14 201515
15 202015
16 201813
17 201611
18 201710
19 20159
20 20229

About Murat Köse

Murat Köse is a scholar working on Infectious Diseases, Immunology, Physiology, Pulmonary and Respiratory Medicine and Surgery, having authored 64 papers that have together received 903 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (12 papers), Inflammation biomarkers and pathways (5 papers), Nutrition and Health in Aging (4 papers), Pancreatitis Pathology and Treatment (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Long-Term Effects of COVID-19 (4 papers), COVID-19 and healthcare impacts (3 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Geriatrics and Gerontology (46 citations), Physiology (306 citations), Immunology (167 citations), Infectious Diseases (134 citations) and Neurology (56 citations). Murat Köse has collaborated with scholars based in Türkiye, United States and Spain. Frequent co-authors include Timur Selçuk Akpınar, Gülistan Bahat, Nilgün Erten, Mehmet Akif Karan, Aslı Tufan, Cihan Kılıç, Alfonso J. Cruz‐Jentoft, Tufan Tükek, Fatih Tufan and Samim Emet. Their work appears in journals such as Experimental Gerontology, Pathogens and Global Health, The journal of nutrition health & aging, The Aging Male and Kidney International Reports.

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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