Anoop Shankar

11.4k citations
100 papers · 7.2k indexed · 1 hit paper · h-index 47

Anoop Shankar

100 papers receiving 7.0k citations

Hit Papers

Comparison of Risk Prediction Using the CKD-EPI Equation ...7402012202620162021200400600

Peers

Anoop Shankar
Comparison fields: 5 of 167
  • Nephrology 1.1k
  • Health, Toxicology and Mutagenesis 1.9k
  • Environmental Chemistry 1.2k
  • Ophthalmology 757
  • Experimental and Cognitive Psychology 613
Replace Fung‐Chang Sung with:
Fung‐Chang Sung Taiwan
Kuo‐Liong Chien Taiwan
Ta‐Chen Su Taiwan
Elaine M. Urbina United States
Meian He China
Cuilin Zhang United States
Karl Michaëlsson Sweden
Jesús Vioqué Spain
Ellen B. Gold United States
A. Richey Sharrett United States
Anoop Shankar relative to Fung‐Chang Sung Taiwan Fung‐Chang Sung's profile →
Citations per field
00.5×9.3×
Fung‐Chang Sung · 1×
Citations per year

Countries citing papers authored by Anoop Shankar

Since Specialization
Citations

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

Fields of papers citing papers by Anoop Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201431
2 2013143
3 20125
4
Comparison of Risk Prediction Using the CKD-EPI Equation and the MDRD Study Equation for Estimated Glomerular Filtration Ratebreakdown →
2012740
5 201116
6 2011184
7 201112
8 201146
9 201013
10 200965
11 200941
12 200984
13 2009185
14 2009274
15 2008176
16 200817
17 200715
18 200681
19 200554
20 2004222

About Anoop Shankar

Anoop Shankar is a scholar working on Nephrology, Endocrine and Autonomic Systems and Health, having authored 100 papers that have together received 7.2k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (12 papers), Obesity, Physical Activity, Diet (11 papers), Chronic Kidney Disease and Diabetes (10 papers), Sleep and related disorders (10 papers), Nutritional Studies and Diet (9 papers), Per- and polyfluoroalkyl substances research (9 papers), Retinal Imaging and Analysis (8 papers) and Health disparities and outcomes (8 papers). The work is most often cited by research in Nephrology (1.1k citations), Health, Toxicology and Mutagenesis (1.9k citations) and Environmental Chemistry (1.2k citations). Anoop Shankar has collaborated with scholars based in United States, Singapore and Australia. Frequent co-authors include Charumathi Sabanayagam, Srinivas Teppala, Ronald Klein, Alan Ducatman, Tien Yin Wong, Jie Xiao, Barbara E.K. Klein, Kyle Steenland, Stephanie J. Frisbee and Seang‐Mei Saw. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

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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