Nahit Çakar

3.5k citations
83 papers · 1.8k · h-index 24

Impact in

Papers in

Nahit Çakar

76 papers receiving 1.7k citations

Peers

Nahit Çakar
Comparison fields: 5 of 105
  • Critical Care and Intensive Care Medicine 290
  • Emergency Medicine 191
  • Anesthesiology and Pain Medicine 112
  • Pulmonary and Respiratory Medicine 675
  • Applied Microbiology and Biotechnology 38
Replace Yan Kang with:
Yan Kang China
Emmanuel Guérot France
Detlef Kindgen‐Milles Germany
Samir Jamali France
Demosthènes Makris Greece
Denis Frasca France
Claire Dahyot‐Fizelier France
Yizhak Kupfer United States
Daniela Pasero Italy
R C Bone United States
Nahit Çakar relative to Yan Kang China Yan Kang's profile →
Citations per field
00.5×3.7×
Yan Kang · 1×
Citations per year

Countries citing papers authored by Nahit Çakar

Since Specialization
Citations

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

Fields of papers citing papers by Nahit Çakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011164
2 2010129
3 2007128
4 200085
5 200481
6 200478
7 200073
8 200565
9 200765
10 201661
11 200357
12 200255
13 200353
14 200144
15 200841
16 200241
17 202035
18 200131
19 200331
20 200231

About Nahit Çakar

Nahit Çakar is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Critical Care and Intensive Care Medicine, Nephrology and Epidemiology, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (25 papers), Sepsis Diagnosis and Treatment (6 papers), Intensive Care Unit Cognitive Disorders (6 papers), Tracheal and airway disorders (5 papers), Renal function and acid-base balance (5 papers), Hemodynamic Monitoring and Therapy (4 papers), Congenital Diaphragmatic Hernia Studies (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (290 citations), Emergency Medicine (191 citations), Anesthesiology and Pain Medicine (112 citations), Pulmonary and Respiratory Medicine (675 citations) and Applied Microbiology and Biotechnology (38 citations). Nahit Çakar has collaborated with scholars based in Türkiye, United States and Netherlands. Frequent co-authors include Figen Esen, Lütfi Telci, Perihan Ergin Özcan, Simru Tuğrul, Serdar Çelebi, İbrahim Özkan Akıncı, Ferdi Menda, Kaya Süzer, Avi Nahum and K. Akpir. Their work appears in journals such as Critical Care, Critical Care Medicine, Advances in experimental medicine and biology, Intensive Care Medicine and Anesthesia & Analgesia.

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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