Khalid M. Taha

62 total papers · 484 total citations
40 papers, 343 citations indexed

About

Khalid M. Taha is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Khalid M. Taha has authored 40 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Parasitology, 15 papers in Infectious Diseases and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Khalid M. Taha's work include Vector-borne infectious diseases (14 papers), Viral Infections and Vectors (12 papers) and Vector-Borne Animal Diseases (11 papers). Khalid M. Taha is often cited by papers focused on Vector-borne infectious diseases (14 papers), Viral Infections and Vectors (12 papers) and Vector-Borne Animal Diseases (11 papers). Khalid M. Taha collaborates with scholars based in Sudan, Saudi Arabia and Japan. Khalid M. Taha's co-authors include Diaeldin A. Salih, Yahia Hassan Ali, A.M. El Hussein, Abdelmalik I. Khalafalla, Khalid A Enan, Rihab A. Omer, S.M. Hassan, Intisar Kamil Saeed, A. A. Gameel and Joram M. Mwacharo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Vaccine and Veterinary Parasitology.

In The Last Decade

Khalid M. Taha

36 papers receiving 332 citations

Author Peers

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

Author Last Decade Papers Cites
Khalid M. Taha 193 178 166 79 64 40 343
Zayat Batsukh 206 1.1× 162 0.9× 127 0.8× 95 1.2× 54 0.8× 22 388
Angela M. Pelzel‐McCluskey 170 0.9× 115 0.6× 156 0.9× 71 0.9× 78 1.2× 23 365
Amira AL-Hosary 279 1.4× 203 1.1× 192 1.2× 65 0.8× 59 0.9× 32 399
Battsetseg Gonchigoo 228 1.2× 138 0.8× 91 0.5× 37 0.5× 49 0.8× 19 337
José Espinosa 115 0.6× 210 1.2× 96 0.6× 42 0.5× 35 0.5× 40 389
Roberto Nardini 117 0.6× 144 0.8× 98 0.6× 74 0.9× 35 0.5× 25 321
Fernanda Simone Marks 157 0.8× 110 0.6× 90 0.5× 52 0.7× 83 1.3× 21 348
Chintu Ravishankar 115 0.6× 164 0.9× 157 0.9× 123 1.6× 36 0.6× 41 365
In-Ohk Ouh 239 1.2× 224 1.3× 146 0.9× 21 0.3× 37 0.6× 39 347
Alfredo A. Benito 98 0.5× 133 0.7× 80 0.5× 66 0.8× 23 0.4× 29 372

Countries citing papers authored by Khalid M. Taha

Since Specialization
Citations

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

Fields of papers citing papers by Khalid M. Taha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khalid M. Taha. 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 Khalid M. Taha. The network helps show where Khalid M. Taha may publish in the future.

Co-authorship network of co-authors of Khalid M. Taha

This figure shows the co-authorship network connecting the top 25 collaborators of Khalid M. Taha. A scholar is included among the top collaborators of Khalid M. Taha 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 Khalid M. Taha. Khalid M. Taha 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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