Sheetal A. Thakur

21 total papers · 873 total citations
12 papers, 659 citations indexed

About

Sheetal A. Thakur is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sheetal A. Thakur has authored 12 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sheetal A. Thakur's work include Occupational and environmental lung diseases (3 papers), Occupational exposure and asthma (2 papers) and Immune cells in cancer (2 papers). Sheetal A. Thakur is often cited by papers focused on Occupational and environmental lung diseases (3 papers), Occupational exposure and asthma (2 papers) and Immune cells in cancer (2 papers). Sheetal A. Thakur collaborates with scholars based in United States, Sweden and India. Sheetal A. Thakur's co-authors include Andrij Holian, Raymond F. Hamilton, Celine A. Beamer, Christopher T. Migliaccio, Timo Pikkarainen, Zachary B. Zalinger, Farhad Imani, Kevin Gerrish, Sondra L. Grumbein and Gordon P. Flake and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Free Radical Biology and Medicine.

In The Last Decade

Sheetal A. Thakur

12 papers receiving 645 citations

Author Peers

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

Author Last Decade Papers Cites
Sheetal A. Thakur 296 213 178 96 78 12 659
Mihaly Palmai‐Pallag 171 0.6× 121 0.6× 171 1.0× 110 1.1× 48 0.6× 16 614
Changsuk Moon 116 0.4× 171 0.8× 203 1.1× 44 0.5× 22 0.3× 15 584
Miho Sakurai 130 0.4× 104 0.5× 96 0.5× 248 2.6× 32 0.4× 22 622
Celine A. Beamer 221 0.7× 258 1.2× 166 0.9× 157 1.6× 47 0.6× 17 649
Patsy Willard 216 0.7× 80 0.4× 84 0.5× 245 2.6× 75 1.0× 10 589
Claudia Reinhard 165 0.6× 96 0.5× 79 0.4× 282 2.9× 59 0.8× 7 617
Pamela Vacek 381 1.3× 103 0.5× 144 0.8× 247 2.6× 76 1.0× 12 750
Farhana Hussain 171 0.6× 68 0.3× 155 0.9× 125 1.3× 24 0.3× 18 603
Eun Jin Lim 49 0.2× 176 0.8× 148 0.8× 66 0.7× 49 0.6× 23 592
Christopher T. Migliaccio 217 0.7× 171 0.8× 115 0.6× 215 2.2× 49 0.6× 25 719

Countries citing papers authored by Sheetal A. Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Sheetal A. Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheetal A. Thakur. 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 Sheetal A. Thakur. The network helps show where Sheetal A. Thakur may publish in the future.

Co-authorship network of co-authors of Sheetal A. Thakur

This figure shows the co-authorship network connecting the top 25 collaborators of Sheetal A. Thakur. A scholar is included among the top collaborators of Sheetal A. Thakur 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 Sheetal A. Thakur. Sheetal A. Thakur 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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