Ankita Burman

22 total papers · 746 total citations
9 papers, 469 citations indexed

About

Ankita Burman is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Epidemiology. According to data from OpenAlex, Ankita Burman has authored 9 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 3 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Ankita Burman's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Neonatal Respiratory Health Research (3 papers) and Autophagy in Disease and Therapy (3 papers). Ankita Burman is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Neonatal Respiratory Health Research (3 papers) and Autophagy in Disease and Therapy (3 papers). Ankita Burman collaborates with scholars based in United States and Ireland. Ankita Burman's co-authors include Timothy S. Blackwell, Harikrishna Tanjore, Jonathan A. Kropski, Nichelle I. Winters, Linda A. Gleaves, Lisa R. Young, William E. Lawson, Taylor P. Sherrill, Dianhua Jiang and Carla L. Calvi and has published in prestigious journals such as Journal of Clinical Investigation, American Journal Of Pathology and Science Translational Medicine.

In The Last Decade

Ankita Burman

9 papers receiving 467 citations

Author Peers

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

Author Last Decade Papers Cites
Ankita Burman 329 134 75 67 53 9 469
Rainer-Maria Bohle 319 1.0× 151 1.1× 104 1.4× 84 1.3× 36 0.7× 7 504
Marianna Agassandian 188 0.6× 208 1.6× 47 0.6× 49 0.7× 68 1.3× 14 533
John T. Berg 241 0.7× 108 0.8× 48 0.6× 22 0.3× 50 0.9× 15 461
Murielle Wiedig 159 0.5× 206 1.5× 32 0.4× 22 0.3× 64 1.2× 11 461
Kati Richter 90 0.3× 174 1.3× 39 0.5× 88 1.3× 66 1.2× 6 474
Nikica Miše 246 0.7× 229 1.7× 30 0.4× 45 0.7× 35 0.7× 9 545
R.E. Wager 292 0.9× 186 1.4× 31 0.4× 41 0.6× 74 1.4× 9 534
Leili Ran 135 0.4× 235 1.8× 50 0.7× 140 2.1× 44 0.8× 8 493
John Snider 159 0.5× 345 2.6× 58 0.8× 28 0.4× 44 0.8× 13 520
Martha-Maria Gebhard 115 0.3× 91 0.7× 28 0.4× 81 1.2× 125 2.4× 8 476

Countries citing papers authored by Ankita Burman

Since Specialization
Citations

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

Fields of papers citing papers by Ankita Burman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankita Burman

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