Shivani Agarwal

1.0k citations
20 papers · 687 indexed · h-index 11

Shivani Agarwal

20 papers receiving 666 citations

Peers

Shivani Agarwal
Comparison fields: 5 of 86
  • Speech and Hearing 161
  • Endocrinology, Diabetes and Metabolism 371
  • Infectious Diseases 181
  • Pediatrics, Perinatology and Child Health 131
  • Genetics 177
Replace G. Todd Alonso with:
G. Todd Alonso United States
Osagie Ebekozien United States
Shivani Agarwal United States
Maria do Rosário Dias de Oliveira Latorre Brazil
N Vallier France
Farhad Moradpour Iran
Paul R. Ogershok United States
Tracy Beth Høeg United States
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Citations per field
00.5×4.7×
G. Todd Alonso · 1×
Citations per year

Countries citing papers authored by Shivani Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Shivani Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20247
3 20222
4
An analysis of hematological, coagulation and biochemical markers in COVID-19 disease and their association with clinical severity and mortality: an Indian outlook.
20219
5 20211
6
Association of Hematologic biomarkers and their combinations with disease severity and mortality in COVID-19- an Indian perspective.
202116
7 202142
8 20208
9 2020101
10 202098
11 20203
12 202073
13 202094
14 20192
15 201810
16 201832
17 201834
18 201672
19 201644
20 201637

About Shivani Agarwal

Shivani Agarwal is a scholar working on Speech and Hearing, Endocrinology, Diabetes and Metabolism and Human-Computer Interaction, having authored 20 papers that have together received 687 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Adolescent and Pediatric Healthcare (6 papers), Childhood Cancer Survivors' Quality of Life (5 papers), COVID-19 Clinical Research Studies (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Diabetes Treatment and Management (2 papers) and Child and Adolescent Health (2 papers). The work is most often cited by research in Speech and Hearing (161 citations), Endocrinology, Diabetes and Metabolism (371 citations) and Infectious Diseases (181 citations). Shivani Agarwal has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Yaron Tomer, Jennifer K. Raymond, Georgia M. Davis, Guillermo E. Umpierrez, Francisco J. Pasquel, Mark H. Schutta, Jill P. Crandall, Clyde B. Schechter, Katharine C. Garvey and William N. Southern. Their work appears in journals such as Diabetes Care, Diabetic Medicine and JAMA Network Open.

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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