Rahat Ullah Khan

19 papers receiving 259 citations

Rahat Ullah Khan's Hit Papers

The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance 2025 · 32 citations
320Years since publication102030

Peers

Rahat Ullah Khan
Comparison fields: 5 of 72
  • Biochemistry 56
  • Aging 9
  • Pharmacology 74
  • Infectious Diseases 54
  • Applied Microbiology and Biotechnology 5
Replace James Prabhanand Bhaskar with:
James Prabhanand Bhaskar India
Árpád Csernetics Hungary
João Jaime Giffoni Leite Brazil
Prashant Kumar Singh India
Ruan Ells South Africa
Wafa Rhimi Italy
Anton I. Terekhov United States
Emília Maria França Lima Brazil
Paulo de Tarso Oliveira e Castro Brazil
Chunjun Qin China
Rahat Ullah Khan relative to James Prabhanand Bhaskar India James Prabhanand Bhaskar's profile →
Citations per field
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James Prabhanand Bhaskar · 1×
Citations per year

Countries citing papers authored by Rahat Ullah Khan

Since Specialization
Citations

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

Fields of papers citing papers by Rahat Ullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rahat Ullah Khan. 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 Rahat Ullah Khan. The network helps show where Rahat Ullah Khan may publish in the future.

Co-authors

The 25 scholars most cited alongside Rahat Ullah Khan, 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 Rahat Ullah Khan Line = papers co-authored together Rahat Ullah Khan links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201491
2 202255
3
The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance
Hit paper breakdown →
202532
4 201518
5 201711
6 202210
7 20248
8 20238
9 20218
10 20217
11 20254
12 20212
13 20252
14 20232
15 20251
16 20231
17 20241
18 20241
19
Synthesis, characterization and biological investigation of zinc nanoparticles using Acacia modesta Wall. leaves.
20231

About Rahat Ullah Khan

Rahat Ullah Khan is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Plant Science and Oncology, having authored 19 papers that have together received 263 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (4 papers), Postharvest Quality and Shelf Life Management (2 papers), Antifungal resistance and susceptibility (2 papers), Fungal Infections and Studies (2 papers), Nanoparticles: synthesis and applications (2 papers), Insect Pest Control Strategies (2 papers), Influenza Virus Research Studies (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Biochemistry (56 citations), Aging (9 citations), Pharmacology (74 citations), Infectious Diseases (54 citations) and Applied Microbiology and Biotechnology (5 citations). Rahat Ullah Khan has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Tiejin Ying, Jianwen Bu, Zhenhui Jiang, Hazrat Bilal, Muhammad Nadeem Khan, Muhammad Shafiq, Rehmat Islam, Mujeeb Ur Rahman, Qiao‐Li Lv and Bin Xu. Their work appears in journals such as Biochemical and Biophysical Research Communications, China CDC Weekly, International Journal of Environmental Research and Public Health, Journal of King Saud University - Science and Postharvest Biology and Technology.

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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