Kausik Mandal

1.1k citations
86 papers · 556 · h-index 14

Impact in

Papers in

    • Congenital heart defects research 6
    • RNA modifications and cancer 5
    • Genomic variations and chromosomal abnormalities 12
    • Genomics and Rare Diseases 7
    • Genetics and Neurodevelopmental Disorders 7

Kausik Mandal

79 papers receiving 546 citations

Peers

Kausik Mandal
Comparison fields: 5 of 76
  • Hepatology 40
  • Sensory Systems 20
  • Genetics 111
  • Immunology 63
  • Molecular Biology 189
Replace Jianhua Xu with:
Jianhua Xu China
Akinari Hidaka Japan
Leen Puimège Belgium
Paul Blaker United Kingdom
Susanne Aberle Germany
Miloš Ognjanović United Kingdom
Giulia Bortolussi Italy
Birol Güvenç Türkiye
Karsten Nielsen Denmark
Saori Sakaue Japan
Kausik Mandal relative to Jianhua Xu China Jianhua Xu's profile →
Citations per field
00.5×3.3×
Jianhua Xu · 1×
Citations per year

Countries citing papers authored by Kausik Mandal

Since Specialization
Citations

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

Fields of papers citing papers by Kausik Mandal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Acute transverse myelitis following hepatitis E virus infection.
200642
2 200532
3 201832
4 202132
5 201826
6 200523
7 201419
8 202016
9 201415
10 202014
11 201614
12
Berardinelli-Seip congenital lipodystrophy.
200614
13 201113
14 201613
15 201811
16 201710
17 20099
18 20229
19 20218
20 20238

About Kausik Mandal

Kausik Mandal is a scholar working on Molecular Biology, Genetics, Surgery, Immunology and Pediatrics, Perinatology and Child Health, having authored 86 papers that have together received 556 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (12 papers), Genomics and Rare Diseases (7 papers), Genetics and Neurodevelopmental Disorders (7 papers), Congenital heart defects research (6 papers), Renal Diseases and Glomerulopathies (5 papers), RNA modifications and cancer (5 papers), Prenatal Screening and Diagnostics (5 papers) and Lysosomal Storage Disorders Research (4 papers). The work is most often cited by research in Hepatology (40 citations), Sensory Systems (20 citations), Genetics (111 citations), Immunology (63 citations) and Molecular Biology (189 citations). Kausik Mandal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Shubha R. Phadke, Priyanka Srivastava, Qingbo Xu, Marjan Jahangiri, Preeti Sharma, Deepti Saxena, Georgios Foteinos, Neerja Gupta, Madhulika Kabra and Sumita Danda. Their work appears in journals such as European Journal of Medical Genetics, Pediatric Nephrology, Journal of Pediatric Genetics, Clinical Kidney Journal and Biomarkers in Medicine.

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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