Sunniyat Rahman

907 citations
26 papers · 529 indexed · h-index 12
Topics
Pancreatitis Pathology and Treatment (6 papers)Pancreatic and Hepatic Oncology Research (5 papers)Acute Lymphoblastic Leukemia research (5 papers)

In The Last Decade

Sunniyat Rahman

24 papers receiving 517 citations

Peers

Sunniyat Rahman
Comparison fields: 5 of 82
  • Molecular Biology 203
  • Oncology 195
  • Surgery 138
  • Pulmonary and Respiratory Medicine 78
  • Immunology 59
Replace Hongliang Rui with:
Hongliang Rui China
Pablo Román‐García Spain
Zhengwei Ma China
Lidia Tihaa Germany
Risul Amin Sweden
Sheng‐Fong Kuo Taiwan
Sang Uk Woo South Korea
Tania Nevers United States
Hideaki Tsuyoshi Japan
Zhaohui Wang China
Sunniyat Rahman relative to Hongliang Rui China Hongliang Rui's profile →
Citations per field
00.5×1.5×1.8×
Hongliang Rui · 1×
Citations per year

Countries citing papers authored by Sunniyat Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Sunniyat Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunniyat Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Sunniyat Rahman. A scholar is included among the top collaborators of Sunniyat Rahman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunniyat Rahman. Sunniyat Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2
Identifying postoperative cognitive dysfunction after elective coronary artery bypass graft surgery in a tertiary centre in Malaysia.
0
3 1
4 12
5 18
6 2
7 22
8 7
9 62
10 8
11 11
12 9
13 11
14 57
15 17
16
Fixed drug eruptions due to cotrimoxazole.
5
17 8
18 31
19 36
20 36

About Sunniyat Rahman

Sunniyat Rahman is a scholar working on Toxicology, Oncology and Surgery, having authored 26 papers that have together received 529 indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (6 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Oncology (195 citations), Aging (6 citations) and Cancer Research (48 citations). Sunniyat Rahman has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Nabil Hajji, Alan R. Boobis, Aleksandra Dąbrowska, Ryota Iwasawa, Mohammed K. Hankir, José L. Venero, Krishna Menon, Marc R. Mansour, Caroline S. Verbeke and Michael McMahon. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Blood.

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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