Mohammad Aqdas

804 citations
24 papers · 619 · h-index 14

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation
    • Tuberculosis Research and Epidemiology

Papers in

Mohammad Aqdas

24 papers receiving 616 citations

Peers

Mohammad Aqdas
Comparison fields: 5 of 82
  • Immunology 316
  • Infectious Diseases 153
  • Aging 11
  • Epidemiology 138
  • Physiology 20
Replace Joana Gaifem with:
Joana Gaifem Portugal
Matt Butler United Kingdom
Yilong Zhou China
Elżbieta Pajtasz‐Piasecka Poland
Sooraj Achar United States
Seunga Choi South Korea
Matthew E. Long United States
Adele Barugahare Australia
Michael D. Stutz Australia
Parul Mehra India
Mohammad Aqdas relative to Joana Gaifem Portugal Joana Gaifem's profile →
Citations per field
00.5×1.5×2.5×
Joana Gaifem · 1×
Citations per year

Countries citing papers authored by Mohammad Aqdas

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Aqdas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018129
2 201965
3 202249
4 201641
5 202239
6 201531
7 201828
8 201627
9 201625
10 202225
11 201724
12 201824
13 202220
14 201713
15 202111
16 202011
17 202111
18 202410
19 20229
20 20218

About Mohammad Aqdas

Mohammad Aqdas is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Epidemiology and Oncology, having authored 24 papers that have together received 619 indexed citations. Recurring topics across this work include Immune Response and Inflammation (11 papers), Tuberculosis Research and Epidemiology (10 papers), Immune cells in cancer (4 papers), Mycobacterium research and diagnosis (4 papers), RNA Interference and Gene Delivery (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), NF-κB Signaling Pathways (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Immunology (316 citations), Infectious Diseases (153 citations), Aging (11 citations), Epidemiology (138 citations) and Physiology (20 citations). Mohammad Aqdas has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Javed N. Agrewala, Susanta Pahari, Shikha Negi, Nargis Khan, Myong‐Hee Sung, Aurobind Vidyarthi, Tapan Agnihotri, Deepjyoti Kumar Das, Javed N. Agrewala and Deepyan Chatterjee. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Cell Reports, Trends in Immunology and Bioconjugate Chemistry.

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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