SB Naidu

1.1k citations
15 papers · 703 · 1 hit paper · h-index 5

Impact in

Papers in

SB Naidu

10 papers receiving 683 citations

SB Naidu's Hit Papers

‘Long-COVID’: a cross-sectional study of persisting symptoms, biomarker and imaging abnormalities following hospitalisation for COVID-19 2020 · 586 citations
5860+2+4Years since publication100200300400500

Peers

SB Naidu
Comparison fields: 5 of 76
  • Neurology 510
  • Critical Care and Intensive Care Medicine 83
  • Infectious Diseases 198
  • Clinical Psychology 182
  • Psychiatry and Mental health 65
Replace Hannah C. Jarvis with:
Hannah C. Jarvis United States
Adrien Galy France
Audrey Le Bot France
Vasco Honsel France
Emma Oliosi France
Rajeev Jayadevan India
Lauren Zimmermann United States
Hélène Gouze France
Destin Groff United States
Ashley Sun United States
SB Naidu relative to Hannah C. Jarvis United States Hannah C. Jarvis's profile →
Citations per field
00.5×1.5×
Hannah C. Jarvis · 1×
Citations per year

Countries citing papers authored by SB Naidu

Since Specialization
Citations

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

Fields of papers citing papers by SB Naidu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
‘Long-COVID’: a cross-sectional study of persisting symptoms, biomarker and imaging abnormalities following hospitalisation for COVID-19
Hit paper breakdown →
2020586
2 202166
3 201428
4
Common benign and malignant neoplasms of the skin.
200811
5 19826
6 20212
7 20251
8 20221
9 20211
10 20051
11 20240
12 20230
13 20250
14 20250
15 20210

About SB Naidu

SB Naidu is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Infectious Diseases, Critical Care and Intensive Care Medicine and Clinical Psychology, having authored 15 papers that have together received 703 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (4 papers), COVID-19 and Mental Health (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Amoebic Infections and Treatments (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Respiratory Support and Mechanisms (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Neurology (510 citations), Critical Care and Intensive Care Medicine (83 citations), Infectious Diseases (198 citations), Clinical Psychology (182 citations) and Psychiatry and Mental health (65 citations). SB Naidu has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Marc Lipman, John R. Hurst, Swapna Mandal, Simon Brill, Joseph Barnett, Melissa Heightman, Emma Denneny, Toby Hillman, Joseph Jacob and Joanna C. Porter. Their work appears in journals such as Thorax, Journal of Clinical Oncology, BMC Medical Education, European Respiratory Journal and PLoS ONE.

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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