Aisha V. Sauer

1.4k citations
19 papers · 934 indexed · h-index 14

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Aisha V. Sauer

19 papers receiving 924 citations

Peers

Aisha V. Sauer
Comparison fields: 5 of 88
  • Physiology 105
  • Cancer Research 252
  • Immunology 269
  • Immunology and Allergy 48
  • Molecular Biology 461
Replace Xia Meng with:
Xia Meng China
Katalin Kis‐Tóth United States
Walter Conca Saudi Arabia
Malini Sen United States
Wei-Wu He United States
Colin D. MacCalman Canada
Shoko Kuroda Japan
Simona Rolla Italy
L. Lepescheux Belgium
Nicole Avitahl United States
Aisha V. Sauer relative to Xia Meng China Xia Meng's profile →
Citations per field
00.5×6.2×
Xia Meng · 1×
Citations per year

Countries citing papers authored by Aisha V. Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Aisha V. Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aisha V. Sauer. 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 Aisha V. Sauer. The network helps show where Aisha V. Sauer may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202256
2 202110
3 201930
4 201851
5 201711
6 2017266
7 20177
8 20164
9 201523
10 201423
11 201363
12 2012100
13 201242
14 201129
15 201178
16 201044
17 200930
18 200954
19 200813

About Aisha V. Sauer

Aisha V. Sauer is a scholar working on Health Informatics, Physiology, Immunology and Allergy, Genetics and Immunology, having authored 19 papers that have together received 934 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Immunodeficiency and Autoimmune Disorders (4 papers), RNA Interference and Gene Delivery (4 papers), CAR-T cell therapy research (3 papers), Adenosine and Purinergic Signaling (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Cell Adhesion Molecules Research (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Physiology (105 citations), Cancer Research (252 citations), Immunology (269 citations), Immunology and Allergy (48 citations) and Molecular Biology (461 citations). Aisha V. Sauer has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alessandro Aiuti, Nicola Carriglio, Immacolata Brigida, Sebastian Memczak, Petar Glažar, Friedrich C. Luft, Okan Toka, Irene Hollfinger, Gunnar Dittmar and Nikolaus Rajewsky. Their work appears in journals such as Frontiers in Immunology, Current Opinion in Allergy and Clinical Immunology, Blood, Journal of Autoimmunity and Eurosurveillance.

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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