Nahit Çakar

3.5k citations
83 papers · 1.9k · h-index 24

Impact in

Papers in

Nahit Çakar

76 papers receiving 1.8k citations

Peers

Nahit Çakar
Comparison fields: 5 of 107
  • Critical Care and Intensive Care Medicine 318
  • Emergency Medicine 218
  • Anesthesiology and Pain Medicine 123
  • Pulmonary and Respiratory Medicine 714
  • Applied Microbiology and Biotechnology 40
Replace Lorenzo Berra with:
Lorenzo Berra United States
Demosthènes Makris Greece
Emmanuel Guérot France
Yizhak Kupfer United States
Detlef Kindgen‐Milles Germany
Denis Frasca France
David L. Bowton United States
Daniela Pasero Italy
Francis Colardyn Belgium
F. Saulnier France
Nahit Çakar relative to Lorenzo Berra United States Lorenzo Berra's profile →
Citations per field
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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 2011172
2 2010135
3 2007130
4 200092
5 200488
6 200485
7 200077
8 200767
9 200566
10 201662
11 200261
12 200360
13 200360
14 200145
15 200842
16 200241
17 202035
18 200333
19 200233
20 200132

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 1.9k 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 (318 citations), Emergency Medicine (218 citations), Anesthesiology and Pain Medicine (123 citations), Pulmonary and Respiratory Medicine (714 citations) and Applied Microbiology and Biotechnology (40 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 Haluk Eraksoy. Their work appears in journals such as Critical Care, Advances in experimental medicine and biology, Critical Care Medicine, 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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