Santosh Kumar Panda

33 papers receiving 277 citations

Peers

Santosh Kumar Panda
Comparison fields: 5 of 83
  • Obstetrics and Gynecology 40
  • Health Informatics 5
  • Immunology 63
  • Computer Science Applications 11
  • Rheumatology 27
Replace Hongjin Zhao with:
Hongjin Zhao China
R. E. Robinson United Kingdom
Francesca Baiwog Australia
Kathryn Starzyk United States
Julian Norman‐Taylor United Kingdom
Marcy Powell United States
Sophie Waldvogel Switzerland
Miao Miao China
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Sorour Khateri Iran
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Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Santosh Kumar Panda

Since Specialization
Citations

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

Fields of papers citing papers by Santosh Kumar Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Santosh Kumar Panda. 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 Santosh Kumar Panda. The network helps show where Santosh Kumar Panda may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201651
2 202444
3 202136
4 201727
5 202125
6 202122
7 20228
8 20227
9 20207
10 20236
11 20195
12 20175
13 20224
14 20224
15 20214
16 20184
17 20223
18 20143
19 20223
20 20222

About Santosh Kumar Panda

Santosh Kumar Panda is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology, having authored 42 papers that have together received 288 indexed citations. Recurring topics across this work include COVID-19 Impact on Reproduction (5 papers), Neonatal and Maternal Infections (5 papers), Neonatal Health and Biochemistry (3 papers), Sepsis Diagnosis and Treatment (3 papers), Breastfeeding Practices and Influences (3 papers), Neonatal Respiratory Health Research (3 papers), Infant Nutrition and Health (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Obstetrics and Gynecology (40 citations), Health Informatics (5 citations), Immunology (63 citations), Computer Science Applications (11 citations) and Rheumatology (27 citations). Santosh Kumar Panda has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Miguel A. F. Sanjuán, Roland Kolbeck, Nirmal Kumar Mohakud, Palash Das, Sonsoles López‐Pernas, Mohammed Saqr, Γεώργιος Λαμπρόπουλος, Soheil Salha, G.S. Kushwaha and Kinshuk Kinshuk. Their work appears in journals such as European Journal of Pediatrics, PLoS ONE, Journal of Advanced Pharmaceutical Technology amp Research, Neonatology and Journal of Biomolecular Structure and Dynamics.

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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