Averil Ma

24.1k citations
142 papers · 18.1k indexed · 9 hit papers · h-index 63
  • Immunology top 0.05%
    • Immune Cell Function and Interaction 36
    • T-cell and B-cell Immunology 34
    • Immune Response and Inflammation 32
    • interferon and immune responses 23
    • Immunotherapy and Immune Responses 14
    • NF-κB Signaling Pathways 49
  • Oncology top 0.5%
    • Ubiquitin and proteasome pathways 11
  • Hematology top 1%
    • Clostridium difficile and Clostridium perfringens research 10

Averil Ma

138 papers receiving 17.8k citations

Hit Papers

A Metabolite-Trigger...335199520262005201550010001.5k

Peers

Averil Ma
Comparison fields: 5 of 142
  • Immunology 11.9k
  • Cancer Research 4.3k
  • Oncology 2.9k
  • Molecular Biology 6.4k
  • Hematology 744
Replace Tohru Tsujimura with:
Tohru Tsujimura Japan
Harald Wajant Germany
Ming O. Li United States
Amer A. Beg United States
Jonathan D. Powell United States
Lionel B. Ivashkiv United States
Karen O’Rourke United States
David Wallach Israel
Manolis Pasparakis Germany
Subhra K. Biswas Singapore
Averil Ma relative to Tohru Tsujimura Japan Tohru Tsujimura's profile →
Citations per field
00.5×1.5×1.9×
Tohru Tsujimura · 1×
Citations per year

Countries citing papers authored by Averil Ma

Since Specialization
Citations

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

Fields of papers citing papers by Averil Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20248
4 20237
5 202213
6 202228
7 201922
8 201811
9 201722
10 2010485
11 200976
12 200636
13 200664
14 2004313
15 200471
16 20031
17 200345
18 2002440
19 199857
20 199575

About Averil Ma

Averil Ma is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 142 papers that have together received 18.1k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (49 papers), Immune Cell Function and Interaction (36 papers), T-cell and B-cell Immunology (34 papers), Immune Response and Inflammation (32 papers), interferon and immune responses (23 papers), Immunotherapy and Immune Responses (14 papers), Ubiquitin and proteasome pathways (11 papers) and Clostridium difficile and Clostridium perfringens research (10 papers). The work is most often cited by research in Immunology (11.9k citations), Cancer Research (4.3k citations) and Oncology (2.9k citations). Averil Ma has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Barbara A. Malynn, Sophia Chai, David L. Boone, Marcia Chien, James P. Lodolce, Patrick R. Burkett, Rima Koka, David L. Boone, Frederick W. Alt and Rommel Advincula. Their work appears in journals such as The Journal of Immunology, Immunity, Gastroenterology, The Journal of Experimental Medicine and Molecular and Cellular Biology.

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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