Sheetal Sharma

606 total citations
44 papers, 401 citations indexed

About

Sheetal Sharma is a scholar working on Pulmonary and Respiratory Medicine, Economics and Econometrics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sheetal Sharma has authored 44 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 8 papers in Economics and Econometrics and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sheetal Sharma's work include Global Maternal and Child Health (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Maternal and Perinatal Health Interventions (4 papers). Sheetal Sharma is often cited by papers focused on Global Maternal and Child Health (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Maternal and Perinatal Health Interventions (4 papers). Sheetal Sharma collaborates with scholars based in United Kingdom, United States and India. Sheetal Sharma's co-authors include Edwin van Teijlingen, Julia Hussein, Dileep Mavalankar, Padam Simkhada, Yogesh Punekar, Vanora Hundley, Lucia D’Ambruoso, Catherine Angell, Stephanie Manson and Nicolas Penel and has published in prestigious journals such as Blood, Gastroenterology and PLoS ONE.

In The Last Decade

Sheetal Sharma

39 papers receiving 384 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sheetal Sharma United Kingdom 10 140 131 66 63 50 44 401
Manas Pratim Roy India 12 142 1.0× 74 0.6× 54 0.8× 67 1.1× 114 2.3× 66 606
Lazarus K. Mramba United States 14 91 0.7× 90 0.7× 60 0.9× 32 0.5× 90 1.8× 30 515
Sarah Lewis United States 11 110 0.8× 230 1.8× 74 1.1× 47 0.7× 25 0.5× 13 524
M Fair Canada 9 119 0.8× 107 0.8× 58 0.9× 76 1.2× 63 1.3× 16 496
Anne-Marie Dyer United States 15 143 1.0× 91 0.7× 108 1.6× 163 2.6× 127 2.5× 24 704
Daniel Erim United States 12 84 0.6× 37 0.3× 53 0.8× 26 0.4× 28 0.6× 25 347
Paul Scanlon United States 9 41 0.3× 71 0.5× 47 0.7× 27 0.4× 93 1.9× 28 376
S. Ahmed United States 10 276 2.0× 24 0.2× 89 1.3× 75 1.2× 45 0.9× 16 556
Joanne Wilkinson United States 10 60 0.4× 87 0.7× 52 0.8× 28 0.4× 74 1.5× 20 444
Raynald Samoa United States 12 80 0.6× 28 0.2× 65 1.0× 34 0.5× 47 0.9× 29 470

Countries citing papers authored by Sheetal Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sheetal Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheetal Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Sheetal Sharma. A scholar is included among the top collaborators of Sheetal Sharma 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 Sheetal Sharma. Sheetal Sharma 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
1.
2.
Sharma, Sheetal, et al.. (2024). OP69 Are Artificial-Intelligence-Based Literature Reviews Accepted By Health Technology Assessment Bodies?. International Journal of Technology Assessment in Health Care. 40(S1). S30–S31.
3.
Shouche, Yogesh S., et al.. (2024). A Narrative Review of the Role of Blood Biomarkers in the Risk Prediction of Cardiovascular Diseases. Cureus. 16(12). e74899–e74899.
4.
5.
Sharma, Sheetal, et al.. (2023). A systematic review to summarize treatment patterns, guidelines, and characteristics of patients with renal cell carcinoma in the Asia-Pacific region. Expert Review of Anticancer Therapy. 23(8). 853–863. 1 indexed citations
6.
Aguiar‐Ibáñez, Raquel, et al.. (2023). EPH185 Clinical, Humanistic, and Economic Benefits of Early Cancer Diagnosis: A Systematic Literature Review. Value in Health. 26(6). S197–S198. 1 indexed citations
7.
Aguiar‐Ibáñez, Raquel, et al.. (2023). CO208 Recurrence Rates and Survival Among Patients with Early-Stage Cancers: A Systematic Literature Review. Value in Health. 26(6). S54–S54. 2 indexed citations
8.
Sharma, Sheetal, et al.. (2023). Health Economic Studies of Surfactant Replacement Therapy in Neonates with Respiratory Distress Syndrome: A Systematic Literature Review. PharmacoEconomics - Open. 7(3). 359–371. 1 indexed citations
9.
Miravitlles, Marc, et al.. (2022). Disease burden associated with alpha-1 antitrypsin deficiency: systematic and structured literature reviews. European Respiratory Review. 31(163). 210262–210262. 19 indexed citations
10.
Aggarwal, Ajay, Dominic H. Moon, Sneha Kumari, Sheetal Sharma, & R Bergemann. (2020). HT3 SYSTEMATIC ASSESSMENT OF HTA DECISIONS FOR PERSONALIZED MEDICINES FOR AN ORPHAN DISEASE: ACUTE MYELOID LEUKEMIA (AML). Value in Health. 23. S6–S6. 1 indexed citations
11.
Sharma, Sheetal, et al.. (2020). PRO43 EPIDEMIOLOGY OF MYASTHENIA GRAVIS IN US, EU5 AND JAPAN: A SYSTEMATIC LITERATURE REVIEW. Value in Health. 23. S336–S336. 1 indexed citations
12.
Sharma, Neena K., et al.. (2020). PND14 QUALITY ASSESSMENT OF META-ANALYSES ON INTERVENTIONS FOR BELL'S PALSY USING AMSTAR 2. Value in Health. 23. S260–S261. 1 indexed citations
13.
Agrawal, Sachin, et al.. (2019). PCN50 INDIRECT COMPARISON OF PARP INHIBITORS IN OVARIAN CANCER: NETWORK META-ANALYSIS. Value in Health. 22. S445–S445. 1 indexed citations
14.
Punekar, Yogesh, et al.. (2017). Rescue medication use as a patient-reported outcome in COPD: a systematic review and regression analysis. Respiratory Research. 18(1). 86–86. 22 indexed citations
15.
Sharma, Sheetal, Edwin van Teijlingen, José M. Belizán, et al.. (2016). Measuring What Works: An Impact Evaluation of Women’s Groups on Maternal Health Uptake in Rural Nepal. PLoS ONE. 11(5). e0155144–e0155144. 21 indexed citations
16.
Sharma, Sheetal, Edwin van Teijlingen, Vanora Hundley, Catherine Angell, & Padam Simkhada. (2016). Dirty and 40 days in the wilderness: Eliciting childbirth and postnatal cultural practices and beliefs in Nepal. BMC Pregnancy and Childbirth. 16(1). 147–147. 56 indexed citations
17.
Sharma, Sheetal, et al.. (2015). 'Nepenglish' or 'Nepali English': A New Version of English?. Bournemouth University Research Online (Bournemouth University). 4(2). 188–193. 6 indexed citations
18.
Hoope‐Bender, Petra ten, Sofia Castro Lopes, Andrea Nove, et al.. (2015). Midwifery 2030: a woman’s pathway to health. What does this mean?. Midwifery. 32. 1–6. 32 indexed citations
19.
Hussein, Julia, Dileep Mavalankar, Sheetal Sharma, & Lucia D’Ambruoso. (2011). A review of health system infection control measures in developing countries: what can be learned to reduce maternal mortality. Globalization and Health. 7(1). 14–14. 48 indexed citations
20.
Mehta, Rajesh, Dileep Mavalankar, K. V. Ramani, Sheetal Sharma, & Julia Hussein. (2011). Infection control in delivery care units, Gujarat state, India: A needs assessment. BMC Pregnancy and Childbirth. 11(1). 37–37. 28 indexed citations

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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