Allen Mao

734 citations
16 papers · 527 · h-index 10

Impact in

    • Immunotherapy and Immune Responses
    • Reproductive System and Pregnancy
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Fibromyalgia and Chronic Fatigue Syndrome Research

Papers in

    • Receptor Mechanisms and Signaling 2
    • Biomedical Text Mining and Ontologies 2
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 3

Allen Mao

15 papers receiving 513 citations

Peers

Allen Mao
Comparison fields: 5 of 92
  • Immunology 181
  • Psychiatry and Mental health 81
  • Oncology 107
  • Behavioral Neuroscience 13
  • Genetics 72
Replace Tiziana Del Beato with:
Tiziana Del Beato Italy
Sandra Peternel Croatia
Mei‐Chuan Huang United States
Dor Mohammad Kordi-Tamandani Iran
Simon McHugh United Kingdom
Nancy A. Hogan United States
Laura Schembri Italy
Alexei Ionan United States
A Jones United States
Joseph Byron United Kingdom
Allen Mao relative to Tiziana Del Beato Italy Tiziana Del Beato's profile →
Citations per field
00.5×4.3×
Tiziana Del Beato · 1×
Citations per year

Countries citing papers authored by Allen Mao

Since Specialization
Citations

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

Fields of papers citing papers by Allen Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200899
2 200594
3 200580
4 200867
5 200947
6 201339
7 201638
8 201015
9 201713
10 201810
11 20239
12 20198
13 20213
14 20193
15 20232
16 20220

About Allen Mao

Allen Mao is a scholar working on Molecular Biology, Immunology, Oncology, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 527 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Receptor Mechanisms and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Chemokine receptors and signaling (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Immunology (181 citations), Psychiatry and Mental health (81 citations), Oncology (107 citations), Behavioral Neuroscience (13 citations) and Genetics (72 citations). Allen Mao has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Vladislava Paharkova-Vatchkova, Susan Kovats, Seán Turner, Esther Carreras, Christopher C. Dascher, Marcia M. Miller, John E. Shively, Zhifang Zhang, Jeff Longmate and Nagarajan Vaidehi. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Oncology, PLoS ONE, Experimental Biology and Medicine 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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