Khalid B. Beshir

2.5k citations
45 papers · 1.2k · h-index 19

Impact in

Papers in

Khalid B. Beshir

43 papers receiving 1.2k citations

Peers

Khalid B. Beshir
Comparison fields: 5 of 65
  • Public Health, Environmental and Occupational Health 1.1k
  • Parasitology 129
  • Computational Theory and Mathematics 150
  • Pharmacology 54
  • Virology 27
Replace Patrick Sawa with:
Patrick Sawa Kenya
Neelima Mishra India
Navid Dinparast Djadid Iran
Jessica T. Lin United States
Hema Joshi India
Pedro Berzosa Spain
Michela Menegon Italy
Jennifer M. Peters Australia
Mehdi Ghorbal France
Olivier Gorgette France
Khalid B. Beshir relative to Patrick Sawa Kenya Patrick Sawa's profile →
Citations per field
00.5×4.7×
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 2018105
2 201395
3 201493
4 201793
5 201388
6 201780
7 201063
8 201052
9 201651
10 201946
11 202042
12 201037
13 201835
14 201334
15 201932
16 201122
17 201921
18 202119
19 201218
20 202316

About Khalid B. Beshir

Khalid B. Beshir is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics, Infectious Diseases, Immunology and Pharmacology, 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 (12 papers), Computational Drug Discovery Methods (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Parasites and Host Interactions (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Vibrio bacteria research studies (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.1k citations), Parasitology (129 citations), Computational Theory and Mathematics (150 citations), Pharmacology (54 citations) and Virology (27 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, Gisela Henriques, Sabah A. Omar, 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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