Umme Kalsoom

52 total papers · 618 total citations
34 papers, 480 citations indexed

About

Umme Kalsoom is a scholar working on Plant Science, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Umme Kalsoom has authored 34 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 6 papers in Materials Chemistry and 5 papers in Molecular Biology. Recurrent topics in Umme Kalsoom's work include Enzyme-mediated dye degradation (10 papers), Dye analysis and toxicity (5 papers) and Nanoparticles: synthesis and applications (3 papers). Umme Kalsoom is often cited by papers focused on Enzyme-mediated dye degradation (10 papers), Dye analysis and toxicity (5 papers) and Nanoparticles: synthesis and applications (3 papers). Umme Kalsoom collaborates with scholars based in Pakistan, China and United States. Umme Kalsoom's co-authors include Haq Nawaz Bhatti, Muhammad Bilal, S. M. Ashraf, Muhammad Rauf, Mohammed A. Meetani, Kiran Aftab, Muhammad Asgher, Faiza Amin, Peter Krawitz and Jochen Hecht and has published in prestigious journals such as Chemical Engineering Journal, Chemosphere and Journal of Chromatography A.

In The Last Decade

Umme Kalsoom

27 papers receiving 470 citations

Author Peers

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

Author Last Decade Papers Cites
Umme Kalsoom 175 121 98 85 76 34 480
Devi Sri Rajendran 97 0.6× 88 0.7× 109 1.1× 75 0.9× 91 1.2× 27 489
Balkys Quevedo-Hidalgo 146 0.8× 119 1.0× 70 0.7× 38 0.4× 89 1.2× 30 517
Raju Biswas 176 1.0× 134 1.1× 60 0.6× 41 0.5× 70 0.9× 14 528
Adina Răducan 96 0.5× 101 0.8× 91 0.9× 72 0.8× 49 0.6× 31 462
Bülent Kaya 91 0.5× 88 0.7× 124 1.3× 62 0.7× 71 0.9× 26 543
Seung-Cheol Jee 87 0.5× 105 0.9× 158 1.6× 59 0.7× 77 1.0× 24 512
Muthulingam Seenuvasan 91 0.5× 76 0.6× 170 1.7× 87 1.0× 150 2.0× 36 526
Saïd Amrani 221 1.3× 62 0.5× 62 0.6× 87 1.0× 39 0.5× 25 427
Lakhvinder Singh 118 0.7× 90 0.7× 44 0.4× 46 0.5× 78 1.0× 18 493
Jingyao Wang 152 0.9× 55 0.5× 60 0.6× 34 0.4× 58 0.8× 28 499

Countries citing papers authored by Umme Kalsoom

Since Specialization
Citations

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

Fields of papers citing papers by Umme Kalsoom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umme Kalsoom

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