Khalid B. Beshir

2.4k citations
45 papers · 1.2k · h-index 19

Impact in

Papers in

Khalid B. Beshir

41 papers receiving 1.2k citations

Peers

Khalid B. Beshir
Comparison fields: 5 of 73
  • Parasitology 247
  • Public Health, Environmental and Occupational Health 1.1k
  • Computational Theory and Mathematics 254
  • Pharmacology 108
  • Infectious Diseases 136
Replace Patrick Sawa with:
Patrick Sawa Kenya
Neelima Mishra India
Navid Dinparast Djadid Iran
Hema Joshi India
Pedro Berzosa Spain
Bécaye Fall Senegal
Jessica T. Lin United States
Qin Cheng Australia
René Mollinedo United States
Michela Menegon Italy
Khalid B. Beshir relative to Patrick Sawa Kenya Patrick Sawa's profile →
Citations per field
00.5×4.1×
Patrick Sawa · 1×
Citations per year

Countries citing papers authored by Khalid B. Beshir

Since Specialization
Citations

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

Fields of papers citing papers by Khalid B. Beshir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Khalid B. Beshir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Khalid B. Beshir Line = papers co-authored together Khalid B. Beshir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018102
2 201395
3 201791
4 201490
5 201389
6 201778
7 201064
8 201051
9 201650
10 201945
11 202042
12 201037
13 201835
14 201333
15 201931
16 201122
17 201920
18 202118
19 201218
20 201516

About Khalid B. Beshir

Khalid B. Beshir is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics, Parasitology, Pharmacology and Infectious Diseases, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Malaria Research and Control (44 papers), Mosquito-borne diseases and control (26 papers), Computational Drug Discovery Methods (15 papers), Parasites and Host Interactions (9 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Invertebrate Immune Response Mechanisms (4 papers), Research on Leishmaniasis Studies (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Parasitology (247 citations), Public Health, Environmental and Occupational Health (1.1k citations), Computational Theory and Mathematics (254 citations), Pharmacology (108 citations) and Infectious Diseases (136 citations). Khalid B. Beshir has collaborated with scholars based in United Kingdom, Kenya and Netherlands. Frequent co-authors include Colin J. Sutherland, Rachel Hallett, Teun Bousema, Patrick Sawa, Chris Drakeley, Sabah A. Omar, Gisela Henriques, Robert W. Sauerwein, Heidi Hopkins and Inke Nadia Diniyanti Lubis. Their work appears in journals such as Malaria Journal, Scientific Reports, The Journal of Infectious Diseases, International Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

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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