Imran Tipu

522 citations
18 papers · 294 · h-index 7

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Immunodeficiency and Autoimmune Disorders
    • interferon and immune responses
    • Immune Cell Function and Interaction

Papers in

Imran Tipu

16 papers receiving 288 citations

Peers

Imran Tipu
Comparison fields: 5 of 66
  • Infectious Diseases 128
  • Immunology 103
  • Applied Microbiology and Biotechnology 8
  • Neurology 35
  • Hepatology 13
Replace Patrícia Mouta Nunes de Oliveira with:
Patrícia Mouta Nunes de Oliveira Brazil
Przemysław Zdziarski Poland
Minya Lu China
Scott D. Neidich United States
Pintip Suchartlikitwong Thailand
Jozefien De Clercq Belgium
Lisa Capozzi United Kingdom
Ednelza da Graça Silva Amoras Brazil
Ashwini Shete India
Hayley A. McQuilten Australia
Imran Tipu relative to Patrícia Mouta Nunes de Oliveira Brazil Patrícia Mouta Nunes de Oliveira's profile →
Citations per field
00.5×2×4×6.5×
Patrícia Mouta Nunes de Oliveira · 1×
Citations per year

Countries citing papers authored by Imran Tipu

Since Specialization
Citations

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

Fields of papers citing papers by Imran Tipu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2022142
2 202356
3 202329
4 202017
5 20149
6 20229
7
Investigation of Hypoglycemic Effect of Ceiba Pentandra Root Bark Extract in Normal and Alloxan Induced Diabetic Albino Rats
20108
8 20197
9 20214
10 20222
11 20192
12 20192
13 20192
14 20242
15 20192
16 20211
17 20240
18 20250

About Imran Tipu

Imran Tipu is a scholar working on Infectious Diseases, Hepatology, Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 18 papers that have together received 294 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Hepatitis C virus research (3 papers), COVID-19 Clinical Research Studies (2 papers), Diabetes and associated disorders (2 papers), Molecular Biology Techniques and Applications (2 papers), interferon and immune responses (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Infectious Diseases (128 citations), Immunology (103 citations), Applied Microbiology and Biotechnology (8 citations), Neurology (35 citations) and Hepatology (13 citations). Imran Tipu has collaborated with scholars based in Pakistan, France and United Kingdom. Frequent co-authors include Muhammad Amin Athar, Muhammad Aslam, Iram Gull, Sarmad Zahoor, Muhammad Nauman Aftab, Muhammad Sohail Afzal, Yasir Rehman, Zaman Khan, Muhammad Luqman Sohail and Haroon Ahmed. Their work appears in journals such as Genome Medicine, PLoS ONE, Human Genetics and Genomics Advances, The Journal of Experimental Medicine and Proceedings of the National Academy of Sciences.

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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