Mohammad Khalid

730 citations
50 papers · 539 · h-index 12

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction

Papers in

    • SARS-CoV-2 and COVID-19 Research 3
    • HIV/AIDS drug development and treatment 3
    • HIV/AIDS Research and Interventions 2
    • Immune Cell Function and Interaction 6

Mohammad Khalid

45 papers receiving 525 citations

Peers

Mohammad Khalid
Comparison fields: 5 of 103
  • Virology 171
  • Immunology 127
  • Infectious Diseases 109
  • Epidemiology 108
  • Pathology and Forensic Medicine 49
Replace Adela Cota‐Gomez with:
Adela Cota‐Gomez United States
Javier García‐Pérez Spain
F. Guillot France
Shunyao Liao China
Arun Prakash United States
S. Orbach‐Arbouys France
Yan Zhuang China
Marie‐Charlotte Hallouin France
Neeraj Kumar India
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Citations per field
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Adela Cota‐Gomez · 1×
Citations per year

Countries citing papers authored by Mohammad Khalid

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199369
2 200751
3 202240
4 200840
5 202436
6 201436
7 201830
8 201228
9
ISOPRENALINE: A TOOL FOR INDUCING MYOCARDIAL INFARCTION IN EXPERIMENTAL ANIMALS
201624
10 201321
11 201913
12 202412
13 202011
14 201810
15 20089
16 20229
17 20248
18 20148
19 20136
20 20206

About Mohammad Khalid

Mohammad Khalid is a scholar working on Infectious Diseases, Immunology, Virology, Surgery and Molecular Biology, having authored 50 papers that have together received 539 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), Immune Cell Function and Interaction (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), HIV/AIDS drug development and treatment (3 papers), Electron Spin Resonance Studies (2 papers), Cardiac Ischemia and Reperfusion (2 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Virology (171 citations), Immunology (127 citations), Infectious Diseases (109 citations), Epidemiology (108 citations) and Pathology and Forensic Medicine (49 citations). Mohammad Khalid has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Muhammad Ashraf, Shahid Jameel, Amjad Hussain, Ashutosh Chaudhry, Frank Kirchhoff, Shadma Wahab, Mohammad Sameer Khan, Mahak Fatima, Prashant Kesharwani and Jan Münch. Their work appears in journals such as Frontiers in Immunology, Journal of Virology, Scientific Reports, Vaccines and Current Problems in Cardiology.

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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