Nitai Chakraborty

25 total papers · 906 total citations
21 papers, 662 citations indexed

About

Nitai Chakraborty is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions and Nutrition and Dietetics. According to data from OpenAlex, Nitai Chakraborty has authored 21 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pediatrics, Perinatology and Child Health, 6 papers in General Health Professions and 6 papers in Nutrition and Dietetics. Recurrent topics in Nitai Chakraborty's work include Global Maternal and Child Health (15 papers), Child Nutrition and Water Access (6 papers) and Global Health and Epidemiology (5 papers). Nitai Chakraborty is often cited by papers focused on Global Maternal and Child Health (15 papers), Child Nutrition and Water Access (6 papers) and Global Health and Epidemiology (5 papers). Nitai Chakraborty collaborates with scholars based in Bangladesh, Kuwait and United States. Nitai Chakraborty's co-authors include Rafiqul I. Chowdhury, Mirajul Islam, Wasimul Bari, Shusmita Khan, Karar Zunaid Ahsan, Md. Abdullah Al-Mamun, Shams El Arifeen, Kanta Jamil, Peter Kim Streatfield and M Moinuddin Haider and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Statistics in Medicine.

In The Last Decade

Nitai Chakraborty

20 papers receiving 600 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nitai Chakraborty 492 237 225 178 102 21 662
Kanta Jamil 413 0.8× 157 0.7× 170 0.8× 141 0.8× 51 0.5× 26 575
Anne Tinker 470 1.0× 259 1.1× 251 1.1× 145 0.8× 52 0.5× 17 668
Dorothy N. Ononokpono 520 1.1× 179 0.8× 327 1.5× 149 0.8× 65 0.6× 27 652
Edilberto Loaiza 571 1.2× 277 1.2× 348 1.5× 217 1.2× 152 1.5× 11 789
Alemayehu Shimeka Teferra 512 1.0× 349 1.5× 208 0.9× 148 0.8× 68 0.7× 14 750
Glyn Alcock 428 0.9× 210 0.9× 216 1.0× 75 0.4× 61 0.6× 21 669
Manoj Alagarajan 494 1.0× 164 0.7× 202 0.9× 138 0.8× 49 0.5× 19 590
Chandan Kumar 368 0.7× 209 0.9× 184 0.8× 132 0.7× 62 0.6× 52 651
Praveen Kumar Pathak 493 1.0× 308 1.3× 269 1.2× 190 1.1× 156 1.5× 26 790
Elizabeth Goodburn 425 0.9× 147 0.6× 174 0.8× 65 0.4× 55 0.5× 12 589

Countries citing papers authored by Nitai Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Nitai Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitai Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Nitai Chakraborty. A scholar is included among the top collaborators of Nitai Chakraborty 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 Nitai Chakraborty. Nitai Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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