Swapna Mandal

5.3k total citations · 3 hit papers
73 papers, 3.2k citations indexed

About

Swapna Mandal is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Swapna Mandal has authored 73 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Pulmonary and Respiratory Medicine, 26 papers in Physiology and 14 papers in Endocrine and Autonomic Systems. Recurrent topics in Swapna Mandal's work include Respiratory Support and Mechanisms (32 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (30 papers) and Obstructive Sleep Apnea Research (20 papers). Swapna Mandal is often cited by papers focused on Respiratory Support and Mechanisms (32 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (30 papers) and Obstructive Sleep Apnea Research (20 papers). Swapna Mandal collaborates with scholars based in United Kingdom, Saudi Arabia and United States. Swapna Mandal's co-authors include John R. Hurst, Gary D. Stoner, Jaber S. Alqahtani, Abdulelah M. Aldhahir, Tope Oyelade, Shumonta Quaderi, Abdullah Alqahtani, Saeed Alghamdi, John Blaikley and J. M. Martín Martín and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Swapna Mandal

67 papers receiving 3.1k citations

Hit Papers

‘Long-COVID’: a cross-sectional study o... 2013 2026 2017 2021 2020 2013 2020 100 200 300 400 500

Peers

Swapna Mandal
Comparison fields: 5 of 143
  • Pulmonary and Respiratory Medicine 1.5k
  • Neurology 746
  • Infectious Diseases 614
  • Clinical Psychology 427
  • Physiology 427
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Citations per field, relative to Swapna Mandal
Swapna Mandal · 1×
Citations per year, relative to Swapna Mandal
Swapna Mandal · 1×

Countries citing papers authored by Swapna Mandal

Since Specialization
Citations

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

Fields of papers citing papers by Swapna Mandal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swapna Mandal

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 33
4 0
5 3
6 17
7 25
8 1
9
Predictors of 30- and 90-Day COPD Exacerbation Readmission: A Prospective Cohort Study
1
10 33
11 22
12 27
13 5
14
‘Long-COVID’: a cross-sectional study of persisting symptoms, biomarker and imaging abnormalities following hospitalisation for COVID-19 breakdown →
575
15 16
16 13
17 3
18 94
19 14
20 64

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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