Fatma Aljassim

9 total papers · 708 total citations
6 papers, 533 citations indexed

About

Fatma Aljassim is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Physiology. According to data from OpenAlex, Fatma Aljassim has authored 6 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 2 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in Fatma Aljassim's work include Neonatal Respiratory Health Research (4 papers), Respiratory viral infections research (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). Fatma Aljassim is often cited by papers focused on Neonatal Respiratory Health Research (4 papers), Respiratory viral infections research (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). Fatma Aljassim collaborates with scholars based in United Arab Emirates, Sweden and Australia. Fatma Aljassim's co-authors include Per Gustafsson, Nele Sigurs, Paul D. Robinson, Ragnar Bjarnason, Bengt Kjellman, Anders Lindblad, P. Gustafsson, Kunling Shen, Jianguo Hong and Hanmin Liu and has published in prestigious journals such as Thorax, Pediatric Pulmonology and Journal of Cystic Fibrosis.

In The Last Decade

Fatma Aljassim

6 papers receiving 519 citations

Hit Papers

Asthma and allergy patter... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Fatma Aljassim 413 319 192 82 74 6 533
Rachel Enriquez 333 0.8× 208 0.7× 184 1.0× 90 1.1× 129 1.7× 7 591
Kim K. Tekkanat 270 0.7× 200 0.6× 168 0.9× 172 2.1× 69 0.9× 9 459
Luke Heil 511 1.2× 215 0.7× 172 0.9× 77 0.9× 40 0.5× 5 598
Chandrika Christie 185 0.4× 371 1.2× 334 1.7× 75 0.9× 62 0.8× 5 596
Huw Thomas 412 1.0× 300 0.9× 149 0.8× 44 0.5× 83 1.1× 11 536
Gilbert Simon 284 0.7× 123 0.4× 99 0.5× 52 0.6× 52 0.7× 13 542
Pauline Winkler-Seinstra 442 1.1× 319 1.0× 88 0.5× 32 0.4× 127 1.7× 7 590
Wai Ming Lee 307 0.7× 201 0.6× 288 1.5× 111 1.4× 34 0.5× 9 537
Hans‐Juergen Dieterich 331 0.8× 179 0.6× 43 0.2× 196 2.4× 72 1.0× 9 501
Ronald J. Servi 295 0.7× 231 0.7× 190 1.0× 48 0.6× 135 1.8× 13 593

Countries citing papers authored by Fatma Aljassim

Since Specialization
Citations

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

Fields of papers citing papers by Fatma Aljassim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatma Aljassim

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