Erkan Kaba

483 citations
52 papers · 331 · h-index 9

Impact in

    • Lung Cancer Diagnosis and Treatment
    • Pleural and Pulmonary Diseases
    • Tracheal and airway disorders
    • Lung Cancer Treatments and Mutations
    • Myasthenia Gravis and Thymoma

Papers in

Erkan Kaba

46 papers receiving 328 citations

Peers

Erkan Kaba
Comparison fields: 5 of 22
  • Pulmonary and Respiratory Medicine 230
  • Neurology 54
  • Radiation 23
  • Hepatology 18
  • Surgery 55
Replace Danjouma Cheufou with:
Danjouma Cheufou Germany
Mark Dylewski United States
Fernando Vannucci Brazil
Lucy Dabner United Kingdom
Jens Eckardt Denmark
David Chandrakumar Australia
Stefano Bongiolatti Italy
Carla M. Lange United States
Jorge Pereira United States
Hisayoshi Ohsawa Japan
Erkan Kaba relative to Danjouma Cheufou Germany Danjouma Cheufou's profile →
Citations per field
00.5×3.5×
Danjouma Cheufou · 1×
Citations per year

Countries citing papers authored by Erkan Kaba

Since Specialization
Citations

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

Fields of papers citing papers by Erkan Kaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201449
2 201548
3 201648
4 201432
5 201821
6 201715
7 201413
8 201712
9 200712
10 20177
11 20176
12 20195
13 20155
14 20175
15 20175
16 20174
17 20213
18 20133
19 20183
20 20133

About Erkan Kaba

Erkan Kaba is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Neurology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 331 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (21 papers), Myasthenia Gravis and Thymoma (14 papers), Medical Imaging and Pathology Studies (5 papers), Tracheal and airway disorders (4 papers), Advanced Radiotherapy Techniques (3 papers), Cardiac tumors and thrombi (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (230 citations), Neurology (54 citations), Radiation (23 citations), Hepatology (18 citations) and Surgery (55 citations). Erkan Kaba has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Alper Toker, Mehmet Oğuzhan Özyurtkan, Adalet Demir, Berker Özkan, Suat Erus, Berk Çimenoğlu, Barış Bakır, Memduh Dursun, Şükrü Dilege and Serhan Tanju. Their work appears in journals such as Interactive Cardiovascular and Thoracic Surgery, Surgical Endoscopy, The Thoracic and Cardiovascular Surgeon, Surgery Today and The Annals of Thoracic Surgery.

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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