Anu Arya

1.1k citations
25 papers · 921 · h-index 12

Impact in

    • Cell Adhesion Molecules Research
    • Food Allergy and Anaphylaxis Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Mast cells and histamine
    • IL-33, ST2, and ILC Pathways

Papers in

Anu Arya

25 papers receiving 906 citations

Peers

Anu Arya
Comparison fields: 5 of 86
  • Immunology and Allergy 148
  • Immunology 521
  • Infectious Diseases 111
  • Molecular Medicine 21
  • Media Technology 33
Replace Luc Legrès with:
Luc Legrès France
Yunqi Wang China
Daniel Garwicz Sweden
Adrian Robins United Kingdom
David J. Zammit United States
Amin E. Moghaddam United Kingdom
Sang Won Hyun United States
Marie‐Hélène Ruchaud‐Sparagano United Kingdom
Søren Bregenholt Denmark
Stella Redpath United States
Anu Arya relative to Luc Legrès France Luc Legrès's profile →
Citations per field
00.5×7.0×
Luc Legrès · 1×
Citations per year

Countries citing papers authored by Anu Arya

Since Specialization
Citations

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

Fields of papers citing papers by Anu Arya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999357
2 2001190
3 200481
4 201269
5 201138
6 201131
7 201931
8 201616
9 201916
10 200412
11 201011
12 201311
13 201410
14 20197
15 20207
16 20196
17 20116
18 19926
19 19954
20 20143

About Anu Arya

Anu Arya is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Epidemiology, Immunology and Infectious Diseases, having authored 25 papers that have together received 921 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (5 papers), T-cell and B-cell Immunology (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Immune Cell Function and Interaction (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Advanced Image Fusion Techniques (3 papers), Click Chemistry and Applications (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology and Allergy (148 citations), Immunology (521 citations), Infectious Diseases (111 citations), Molecular Medicine (21 citations) and Media Technology (33 citations). Anu Arya has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Christina M. Parker, William W. Agace, K. Frank Austen, Daniel S. Friend, Michael F. Gurish, J. Pablo Abonia, Jan Marsal, Michael P. Schön, Anna Ericsson and Michael J. Grusby. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Biochimie, European Journal of Immunology, The Journal of Immunology and The Journal of Experimental Medicine.

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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