Tuba Dal

70 papers receiving 850 citations

Peers

Tuba Dal
Comparison fields: 5 of 111
  • Molecular Medicine 176
  • Applied Microbiology and Biotechnology 52
  • Endocrinology 131
  • Infectious Diseases 183
  • Critical Care and Intensive Care Medicine 44
Replace Binghuai Lu with:
Binghuai Lu China
A.P. Gibb United Kingdom
Fatemeh Ahangarkani Iran
Neriman Balaban Türkiye
Øyvind Kommedal Norway
Yvonne Yau Canada
Vincent Fihman France
Kitty S. C. Fung China
Alison Laufer Halpin United States
Reba Kanungo India
Tuba Dal relative to Binghuai Lu China Binghuai Lu's profile →
Citations per field
00.5×10×20×30×38×
Binghuai Lu · 1×
Citations per year

Countries citing papers authored by Tuba Dal

Since Specialization
Citations

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

Fields of papers citing papers by Tuba Dal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020119
2
Clinical manifestation, diagnosis, prevention and control of SARS-CoV-2 (COVID-19) during the outbreak period.
2020115
3 201344
4 201938
5 201834
6 201331
7 201929
8 202026
9 201923
10 201822
11
Is Chryseobacterium indologenes a shunt-lover bacterium? A case report and review of the literature.
201320
12 201319
13 201318
14 201517
15 202017
16 201916
17 201415
18 201314
19 201114
20 201414

About Tuba Dal

Tuba Dal is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Molecular Medicine and Clinical Biochemistry, having authored 77 papers that have together received 890 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Bacterial Identification and Susceptibility Testing (11 papers), Bacterial biofilms and quorum sensing (9 papers), Hepatitis B Virus Studies (7 papers), Infections and bacterial resistance (7 papers), Urinary Tract Infections Management (6 papers), Hepatitis C virus research (6 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). The work is most often cited by research in Molecular Medicine (176 citations), Applied Microbiology and Biotechnology (52 citations), Endocrinology (131 citations), Infectious Diseases (183 citations) and Critical Care and Intensive Care Medicine (44 citations). Tuba Dal has collaborated with scholars based in Türkiye, Iran and Azerbaijan. Frequent co-authors include Recep Tekin, Rıza Durmaz, Khudaverdi Ganbarov, Hossein Samadi Kafil, Şükran Köse, Sounkalo Dao, Ziya Cibali Açıkgöz, Pourya Gholizadeh, Mohammad Aghazadeh and Mohammad Ahangarzadeh Rezaee. Their work appears in journals such as Journal of Medical Microbiology, Journal of Infection and Public Health, Diagnostic Microbiology and Infectious Disease, Journal of Burn Care & Research and Urology.

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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