Suprit Basu

511 citations
47 papers · 269 · h-index 10

Impact in

Papers in

    • Kawasaki Disease and Coronary Complications 5
    • Infectious Diseases and Tuberculosis 3
    • Blood groups and transfusion 7
    • Autoimmune and Inflammatory Disorders Research 3

Suprit Basu

33 papers receiving 253 citations

Peers

Suprit Basu
Comparison fields: 5 of 67
  • Hematology 45
  • Management of Technology and Innovation 28
  • Hepatology 23
  • Parasitology 19
  • Dermatology 19
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Dante Mário Langhi Brazil
Kiyonori Takada Japan
Rupa Singh India
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Citations per field
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Citations per year

Countries citing papers authored by Suprit Basu

Since Specialization
Citations

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

Fields of papers citing papers by Suprit Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transfusion-transmitted infections: existing and emerging pathogens.
200653
2 201324
3 199824
4 201224
5 199619
6 201817
7
Autoimmune hemolytic anemia associated with benign ovarian cyst: a case report and review of literature.
200316
8 199012
9 198710
10 201710
11 20218
12 19705
13 20145
14 20105
15 20244
16 20224
17 20173
18 20223
19 20243
20
Multiple myeloma presenting as malabsorption syndrome due to amyloidosis.
20003

About Suprit Basu

Suprit Basu is a scholar working on Surgery, Hematology, Epidemiology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 47 papers that have together received 269 indexed citations. Recurring topics across this work include Blood groups and transfusion (7 papers), Kawasaki Disease and Coronary Complications (5 papers), Coronary Artery Anomalies (4 papers), Parvovirus B19 Infection Studies (3 papers), Infectious Diseases and Tuberculosis (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Neonatal and Maternal Infections (3 papers) and Inflammatory Myopathies and Dermatomyositis (2 papers). The work is most often cited by research in Hematology (45 citations), Management of Technology and Innovation (28 citations), Hepatology (23 citations), Parasitology (19 citations) and Dermatology (19 citations). Suprit Basu has collaborated with scholars based in India, United Kingdom and Malaysia. Frequent co-authors include Paramjit Kaur, Myura Nagendran, Mahiben Maruthappu, Gurkiran Kaur, Ravneet Kaur, Caroline J Doré, R. Senior, Krishna Misra, AK Bajaj and Ratnesh K. Pandey. Their work appears in journals such as Frontiers in Pediatrics, Immunologic Research, Age and Ageing, Lara D. Veeken and Immunobiology.

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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