Sunil Kumar Mishra

2.9k citations
24 papers · 1.1k indexed · 1 hit paper · h-index 13
Topics
Liver Disease Diagnosis and Treatment (8 papers)Bone health and treatments (3 papers)Diet, Metabolism, and Disease (3 papers)

In The Last Decade

Sunil Kumar Mishra

23 papers receiving 1.1k citations

Hit Papers

Effect of Empagliflozin on Liver Fat in Patients With Typ...20182026202020232018100200300400

Peers

Sunil Kumar Mishra
Comparison fields: 5 of 79
  • Epidemiology 762
  • Endocrinology, Diabetes and Metabolism 614
  • Surgery 244
  • Molecular Biology 181
  • Physiology 136
Replace Tommaso Bucci with:
Tommaso Bucci Italy
Sang Bae Lee South Korea
Guang Zhang China
Angela Favuzzi Italy
Vesa Savolainen Finland
Elisabetta Moscarella Italy
Mohammad Shafi Kuchay India
Atakan Yeşıl Türkiye
Erdem Koçak Türkiye
Adriana Sánchez‐García Mexico
Sunil Kumar Mishra relative to Tommaso Bucci Italy Tommaso Bucci's profile →
Citations per field
00.5×3.4×
Tommaso Bucci · 1×
Citations per year

Countries citing papers authored by Sunil Kumar Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Kumar Mishra

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Kumar Mishra. A scholar is included among the top collaborators of Sunil Kumar Mishra 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 Sunil Kumar Mishra. Sunil Kumar Mishra 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
#WorkIndexed citations
1 0
2 3
3 20
4 8
5 14
6 7
7 7
8 12
9 111
10 169
11 31
12 4
13 81
14 3
15 32
16
Effect of Empagliflozin on Liver Fat in Patients With Type 2 Diabetes and Nonalcoholic Fatty Liver Disease: A Randomized Controlled Trial (E-LIFT Trial)breakdown →
456
17 3
18 13
19 120
20 13

About Sunil Kumar Mishra

Sunil Kumar Mishra is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology and Epidemiology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Bone health and treatments (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (614 citations), Epidemiology (762 citations) and Hepatology (127 citations). Sunil Kumar Mishra has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Mohammad Shafi Kuchay, Narendra S. Choudhary, Ambrish Mithal, Parjeet Kaur, Jasjeet Singh Wasir, Manish Kumar Singh, Khalid Farooqui, Sonal Krishan, Ganesh Jevalikar and Beena Bansal. Their work appears in journals such as Diabetes Care, Diabetologia and American Journal of Neuroradiology.

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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