Beenish Qaiser

26 total papers · 815 total citations
2 papers, 61 citations indexed

About

Beenish Qaiser is a scholar working on Sociology and Political Science, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Beenish Qaiser has authored 2 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Sociology and Political Science, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Oncology. Recurrent topics in Beenish Qaiser's work include Genetic Associations and Epidemiology (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). Beenish Qaiser is often cited by papers focused on Genetic Associations and Epidemiology (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). Beenish Qaiser collaborates with scholars based in Finland, United States and Estonia. Beenish Qaiser's co-authors include Esko Länsimies, Kirsi L. Timonen, Ari Lindqvist, Esko Vanninen, Annette Kainu, Anssi Sovijärvi, Janne Pitkäniemi, Jyri Toikka, Jyrki‐Tapani Kotaniemi and Markus Perola and has published in prestigious journals such as Translational Psychiatry and Clinical Physiology and Functional Imaging.

In The Last Decade

Beenish Qaiser

2 papers receiving 61 citations

Author Peers

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

Author						Papers	Cites
Beenish Qaiser	47	35	9	5	5	2	61
Eoin Murtagh	49 1.0×	23 0.7×	9 1.0×		2 0.4×	2	56
Neven Miculinić	42 0.9×	14 0.4×	3 0.3×		3 0.6×	4	48
Neva Eleangovan	49 1.0×	56 1.6×	2 0.2×		2 0.4×	3	64
Mark James	37 0.8×	17 0.5×	2 0.2×		3 0.6×	4	65
Steve M. Sigelman	22 0.5×	40 1.1×	5 0.6×			2	48
A Messuerotti	40 0.9×	11 0.3×	9 1.0×		1 0.2×	3	60
E. Valovirta	26 0.6×	44 1.3×	6 0.7×		1 0.2×	3	58
Paul Albert	38 0.8×	14 0.4×	2 0.2×	2 0.4×	1 0.2×	4	52
Sue Cole	41 0.9×	36 1.0×	1 0.1×	2 0.4×	3 0.6×	4	72
Daniel Pearson	25 0.5×	29 0.8×		3 0.6×		4	48

Countries citing papers authored by Beenish Qaiser

Since Specialization

Citations

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

Fields of papers citing papers by Beenish Qaiser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beenish Qaiser

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