Debasish Kar

904 total citations · 1 hit paper
18 papers, 529 citations indexed

About

Debasish Kar is a scholar working on Epidemiology, Infectious Diseases and General Health Professions. According to data from OpenAlex, Debasish Kar has authored 18 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Infectious Diseases and 4 papers in General Health Professions. Recurrent topics in Debasish Kar's work include Liver Disease Diagnosis and Treatment (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Chronic Disease Management Strategies (2 papers). Debasish Kar is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Chronic Disease Management Strategies (2 papers). Debasish Kar collaborates with scholars based in United Kingdom, Qatar and Egypt. Debasish Kar's co-authors include Melanie J. Davies, Kamlesh Khunti, Solomon Tesfaye, Jeremy Walker, Adrian Scott, Dinesh Selvarajah, Clare Gillies, Samuel Seidu, Mintu Nath and David R. Webb and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Heart.

In The Last Decade

Debasish Kar

16 papers receiving 526 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diabetic peripheral neuropathy: advances in diagnosis and strategies for screening and early intervention

2019 353 citations Dinesh Selvarajah, Debasish Kar et al. The Lancet Diabetes & Endocrinology profile →

Peers

Countries citing papers authored by Debasish Kar

Since Specialization

Citations

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

Fields of papers citing papers by Debasish Kar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debasish Kar

This figure shows the co-authorship network connecting the top 25 collaborators of Debasish Kar. A scholar is included among the top collaborators of Debasish Kar 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 Debasish Kar. Debasish Kar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Assessing the association between COVID-19 vaccination and thrombotic thrombocytopenia syndrome (ATTEST Study): Analyses of English data, 2020-2022 2025 ·International Journal of Infectious Diseases ·José M Ordóñez-Mena, (unknown), (unknown), Xuejuan Fan, (unknown), (unknown), (unknown), (unknown), (unknown), Debasish Kar, Rachel Byford, Sneha Anand, Filipa Ferreira, Lisa Mather, Andrew G. Lee, Richard Hobbs, D. Mark Layton, Simon de Lusignan	0
2	Phenotype execution and modeling architecture to support disease surveillance and real-world evidence studies: English sentinel network evaluation 2024 ·JAMIA Open ·(unknown), William H. Elson, Debasish Kar, (unknown), Uy Hoang, (unknown), (unknown), William Hinton, Sneha Anand, (unknown), Rachel Byford, José M Ordóñez-Mena, (unknown), Simon de Lusignan	2
3	Creating a Modified Version of the Cambridge Multimorbidity Score to Predict Mortality in People Older Than 16 Years: Model Development and Validation 2024 ·Journal of Medical Internet Research ·Debasish Kar, Kathryn Taylor, Mark Joy, Sudhir Venkatesan, Wilhelmine Meeraus, (unknown), Sneha Anand, Filipa Ferreira, (unknown), Xuejuan Fan, Simon de Lusignan	1
4	Disparities in COVID-19 mortality amongst the immunosuppressed: A systematic review and meta-analysis for enhanced disease surveillance 2024 ·Journal of Infection ·(unknown), (unknown), José M Ordóñez-Mena, Debasish Kar, Heather Whitaker, Mark Joy, Nia Roberts, Richard Hobbs, Simon de Lusignan	13
5	Developing a digital phenotype to subdivide adult immunosuppressed COVID-19 outcomes within the English Primary Care Sentinel Network 2024 ·Frontiers in Immunology ·(unknown), Debasish Kar, (unknown), (unknown), (unknown), (unknown), José M Ordóñez-Mena, (unknown), Heather Whitaker, Mark Joy, Lennard Y. W. Lee, Richard Hobbs, Simon de Lusignan	0
6	Relationship of cardiorenal risk factors with albuminuria based on age, smoking, glycaemic status and BMI: a retrospective cohort study of the UK Biobank data 2023 ·SHILAP Revista de lepidopterología ·Debasish Kar, (unknown), Mintu Nath, Penny Breeze, (unknown), Mark Strong, J. Chilcott, Melanie J. Davies, Andrew Lee, Simon de Lusignan, Kamlesh Khunti, Amanda Adler, Elizabeth Goyder	2
7	Development of a modified Cambridge Multimorbidity Score for use with SNOMED CT: an observational English primary care sentinel network study 2023 ·British Journal of General Practice ·Ruby S. M. Tsang, Mark Joy, Heather Whitaker, James P Sheppard, John Williams, Julian Sherlock, Nikhil Mayor, (unknown), (unknown), (unknown), Debasish Kar, Gayathri Delanerolle, Richard J. McManus, Richard Hobbs, Simon de Lusignan	6
8	Hepatitis A Vaccination Coverage Among People With Chronic Liver Disease in England (HEALD): Protocol for a Retrospective Cohort Study 2023 ·JMIR Research Protocols ·(unknown), (unknown), William H. Elson, Debasish Kar, (unknown), William Hinton, Xuejuan Fan, Rachel Byford, Michael Feher, Martin Whyte, Mark Joy, Simon de Lusignan	1
9	Thrombocytopenic, thromboembolic and haemorrhagic events following second dose with BNT162b2 and ChAdOx1: self-controlled case series analysis of the English national sentinel cohort 2023 ·The Lancet Regional Health - Europe ·Mark Joy, (unknown), Xuejuan Fan, Chris Robertson, Sneha Anand, José M Ordóñez-Mena, Rachel Byford, Rosalind Goudie, (unknown), Debasish Kar, John Williams, Gemma Marsden, Victoria Tzortziou Brown, (unknown), Richard Hobbs, Simon de Lusignan	4
10	A Systematic Review and Meta-analysis of Polycystic Ovary Syndrome and Mental Health among Black Asian Minority Ethnic populations 2022 ·medRxiv ·Gayathri Delanerolle, Salma Ayis, (unknown), Peter Phiri, Yutian Zeng, (unknown), Ashish Shetty, Nyla Haque, Debasish Kar, Kingshuk Majumder, Shanaya Rathod, Vanessa Raymont, (unknown), Dharani K. Hapangama	1
11	Predictors and Determinants of Albuminuria in People with Prediabetes and Diabetes Based on Smoking Status: A Cross-Sectional Study Using the UK Biobank Data 2022 ·SSRN Electronic Journal ·Debasish Kar, (unknown), Anna Forbes, James P Sheppard, Mintu Nath, Mark Joy, Nicholas Cole, Jayanth R. Arnold, Andrew Lee, Michael Feher, Melanie J. Davies, Kamlesh Khunti, Simon de Lusignan, Elizabeth Goyder	1
12	Predictors and determinants of albuminuria in people with prediabetes and diabetes based on smoking status: A cross-sectional study using the UK Biobank data 2022 ·EClinicalMedicine ·Debasish Kar, (unknown), Gayathri Delanerolle, Anna Forbes, James P Sheppard, Mintu Nath, Mark Joy, Nicholas Cole, Jayanth R. Arnold, Andrew Lee, Michael Feher, Melanie J. Davies, Kamlesh Khunti, Simon de Lusignan, Elizabeth Goyder	9
13	Trends in direct oral anticoagulant (DOAC) prescribing in English primary care (2014–2019) 2022 ·Heart ·Mark Joy, John Williams, (unknown), Debasish Kar, Xuejuan Fan, Gayathri Delanerolle, Benjamin C. T. Field, Christian Heiß, (unknown), Belinda Sandler, (unknown), James P Sheppard, Michael Feher, Richard Hobbs, Simon de Lusignan	13
14	Effect of pragmatic versus explanatory interventions on medication adherence in people with cardiometabolic conditions: a systematic review and meta-analysis 2020 ·BMJ Open ·(unknown), Clare Gillies, Samuel Seidu, Debasish Kar, (unknown), Melanie J. Davies, Prashanth Patel, Pankaj Gupta, Kamlesh Khunti	10
15	Association of smoking and cardiometabolic parameters with albuminuria in people with type 2 diabetes mellitus: a systematic review and meta-analysis 2019 ·Acta Diabetologica ·Debasish Kar, Clare Gillies, Mintu Nath, Kamlesh Khunti, Melanie J. Davies, Samuel Seidu	36
16	Diabetic peripheral neuropathy: advances in diagnosis and strategies for screening and early intervention breakdown → 2019 ·The Lancet Diabetes & Endocrinology ·Dinesh Selvarajah, Debasish Kar, Kamlesh Khunti, Melanie J. Davies, Adrian Scott, Jeremy Walker, Solomon Tesfaye	353
17	Prevalence and progression of diabetic nephropathy in South Asian, white European and African Caribbean people with type 2 diabetes: A systematic review and meta‐analysis 2018 ·Diabetes Obesity and Metabolism ·(unknown), Winston Crasto, Clare Gillies, Debasish Kar, Melanie J. Davies, Kamlesh Khunti, Samuel Seidu	21
18	Relationship of cardiometabolic parameters in non-smokers, current smokers, and quitters in diabetes: a systematic review and meta-analysis 2016 ·Cardiovascular Diabetology ·Debasish Kar, Clare Gillies, Francesco Zaccardi, David R. Webb, Samuel Seidu, Solomon Tesfaye, Melanie J. Davies, Kamlesh Khunti	56

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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