Piper A. Rawding

499 citations
12 papers · 383 · 1 hit paper · h-index 8

Impact in

Papers in

    • RNA Interference and Gene Delivery 5
    • Extracellular vesicles in disease 2
    • Immunotherapy and Immune Responses 6

Piper A. Rawding

12 papers receiving 379 citations

Piper A. Rawding's Hit Papers

Chemically and Biologically Engineered Bacteria‐Based Delivery Systems for Emerging Diagnosis and Advanced Therapy 2021 · 191 citations
1910+1+3Years since publication50100150

Peers

Piper A. Rawding
Comparison fields: 5 of 70
  • Biotechnology 80
  • Pharmaceutical Science 23
  • Biomedical Engineering 142
  • Biomaterials 40
  • Immunology 54
Replace Maohua Chen with:
Maohua Chen China
Haiyan Guo China
Mei‐Ting Niu China
Zibin Tan China
Haosheng Shen China
Nanhui Liu China
Mingfu Chen United States
Arezoo Shahrivarkevishahi United States
Luke J. Kubiatowicz United States
Qingling Song China
Piper A. Rawding relative to Maohua Chen China Maohua Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Piper A. Rawding

Since Specialization
Citations

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

Fields of papers citing papers by Piper A. Rawding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Piper A. Rawding. 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 Piper A. Rawding. The network helps show where Piper A. Rawding may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Chemically and Biologically Engineered Bacteria‐Based Delivery Systems for Emerging Diagnosis and Advanced Therapy
Hit paper breakdown →
2021191
2 201942
3 202131
4 202229
5 202123
6 202221
7 202117
8 202110
9 20227
10 20247
11 20243
12 20252

About Piper A. Rawding

Piper A. Rawding is a scholar working on Molecular Biology, Immunology, Polymers and Plastics, Cancer Research and Oncology, having authored 12 papers that have together received 383 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), RNA Interference and Gene Delivery (5 papers), Dendrimers and Hyperbranched Polymers (4 papers), Cancer Genomics and Diagnostics (2 papers), Extracellular vesicles in disease (2 papers), MicroRNA in disease regulation (1 paper), Boron Compounds in Chemistry (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Biotechnology (80 citations), Pharmaceutical Science (23 citations), Biomedical Engineering (142 citations), Biomaterials (40 citations) and Immunology (54 citations). Piper A. Rawding has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Seungpyo Hong, Jiyoon Bu, Zhaoting Li, Jun Liu, Quanyin Hu, Yixin Wang, Ashita Nair, Luke J. Kubiatowicz, Adam J. Drelich and Kevin Huang. Their work appears in journals such as Biomacromolecules, Cancers, Nanomaterials, Nature Communications and Advanced Healthcare Materials.

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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