Uma S. Sajjan

53 total papers · 2.5k total citations
34 papers, 1.9k citations indexed

About

Uma S. Sajjan is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Immunology. According to data from OpenAlex, Uma S. Sajjan has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 13 papers in Physiology and 13 papers in Immunology. Recurrent topics in Uma S. Sajjan's work include Asthma and respiratory diseases (12 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers) and Pediatric health and respiratory diseases (8 papers). Uma S. Sajjan is often cited by papers focused on Asthma and respiratory diseases (12 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (10 papers) and Pediatric health and respiratory diseases (8 papers). Uma S. Sajjan collaborates with scholars based in United States, Canada and Belarus. Uma S. Sajjan's co-authors include Adam T. Comstock, Shyamala Ganesan, Marc B. Hershenson, Andrea N. Faris, J. Kelley Bentley, Suparna Nanua, Fernando J. Martínez, Jun Young Hong, Yutein Chung and Adam M. Goldsmith and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and The Journal of Immunology.

In The Last Decade

Uma S. Sajjan

33 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Uma S. Sajjan 749 492 459 395 375 34 1.9k
Saskia Braber 392 0.5× 447 0.9× 961 2.1× 171 0.4× 491 1.3× 78 2.9k
Mark W. Rolfe 763 1.0× 594 1.2× 1.0k 2.2× 343 0.9× 286 0.8× 45 2.7k
Sílvio Favoreto 337 0.4× 626 1.3× 392 0.9× 492 1.2× 639 1.7× 33 2.1k
Christoph Beißwenger 627 0.8× 759 1.5× 703 1.5× 276 0.7× 435 1.2× 82 2.4k
Sinéad Weldon 746 1.0× 448 0.9× 562 1.2× 249 0.6× 220 0.6× 63 2.0k
Shyamala Ganesan 628 0.8× 336 0.7× 313 0.7× 387 1.0× 310 0.8× 30 1.5k
Shakti D. Shukla 935 1.2× 223 0.5× 1.1k 2.4× 358 0.9× 440 1.2× 61 2.6k
Benjamin T. Kopp 882 1.2× 187 0.4× 515 1.1× 415 1.1× 123 0.3× 104 1.9k
Helen Martin 297 0.4× 411 0.8× 873 1.9× 237 0.6× 275 0.7× 36 2.3k
Yiqiang Chen 335 0.4× 239 0.5× 479 1.0× 245 0.6× 282 0.8× 59 1.5k

Countries citing papers authored by Uma S. Sajjan

Since Specialization
Citations

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

Fields of papers citing papers by Uma S. Sajjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uma S. Sajjan. 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 Uma S. Sajjan. The network helps show where Uma S. Sajjan may publish in the future.

Co-authorship network of co-authors of Uma S. Sajjan

This figure shows the co-authorship network connecting the top 25 collaborators of Uma S. Sajjan. A scholar is included among the top collaborators of Uma S. Sajjan 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 Uma S. Sajjan. Uma S. Sajjan 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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