F Abbasi

22 total papers · 529 total citations
16 papers, 420 citations indexed

About

F Abbasi is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, F Abbasi has authored 16 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in F Abbasi's work include Plant Disease Resistance and Genetics (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Chromosomal and Genetic Variations (4 papers). F Abbasi is often cited by papers focused on Plant Disease Resistance and Genetics (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Chromosomal and Genetic Variations (4 papers). F Abbasi collaborates with scholars based in Japan, Philippines and Pakistan. F Abbasi's co-authors include Setsuko Komatsu, Haruko Onodera, Seiichi Toki, Hiroshi Tanaka, Yukimoto Iwasaki, Hisaharu Kato, Yukiko Fujisawa, Mohammad Sajid, Ismail Khan and Muhammad Afzal and has published in prestigious journals such as Plant Molecular Biology, PROTEOMICS and AFRICAN JOURNAL OF BIOTECHNOLOGY.

In The Last Decade

F Abbasi

15 papers receiving 401 citations

Author Peers

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

Author Last Decade Papers Cites
F Abbasi 372 215 27 24 14 16 420
Helen K. Woodfield 289 0.8× 355 1.7× 19 0.7× 19 0.8× 14 1.0× 11 487
Erhui Xiong 265 0.7× 257 1.2× 24 0.9× 54 2.3× 14 1.0× 23 438
Gwénäelle Bestel‐Corre 265 0.7× 175 0.8× 27 1.0× 24 1.0× 20 1.4× 9 425
Winson Orr 283 0.8× 299 1.4× 21 0.8× 12 0.5× 14 1.0× 19 458
Nathan D. Tivendale 380 1.0× 320 1.5× 13 0.5× 13 0.5× 21 1.5× 14 477
Sunitha Shiva 187 0.5× 239 1.1× 14 0.5× 29 1.2× 10 0.7× 15 372
Kelly M. Balmant 226 0.6× 253 1.2× 23 0.9× 16 0.7× 9 0.6× 20 387
Su-Ee Lau 406 1.1× 183 0.9× 18 0.7× 8 0.3× 10 0.7× 21 484
Fengbo Yang 305 0.8× 175 0.8× 10 0.4× 14 0.6× 36 2.6× 24 435
Cailin Ge 360 1.0× 206 1.0× 12 0.4× 6 0.3× 9 0.6× 27 433

Countries citing papers authored by F Abbasi

Since Specialization
Citations

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

Fields of papers citing papers by F Abbasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F Abbasi

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