David J. Peeler

2.3k total citations · 1 hit paper
21 papers, 1.4k citations indexed

About

David J. Peeler is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, David J. Peeler has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Genetics. Recurrent topics in David J. Peeler's work include RNA Interference and Gene Delivery (12 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Immunotherapy and Immune Responses (5 papers). David J. Peeler is often cited by papers focused on RNA Interference and Gene Delivery (12 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Immunotherapy and Immune Responses (5 papers). David J. Peeler collaborates with scholars based in United States, United Kingdom and Australia. David J. Peeler's co-authors include Suzie H. Pun, Drew L. Sellers, Anna Kuchina, Bosiljka Tasic, Sumit Mukherjee, Zizhen Yao, Charles M. Roco, Alexander Rosenberg, Paul Sample and Wei Chen and has published in prestigious journals such as Science, Advanced Materials and Nature Communications.

In The Last Decade

David J. Peeler

20 papers receiving 1.4k citations

Hit Papers

Single-cell profiling of the developing mouse brain and s... 2018 2026 2020 2023 2018 250 500 750

Peers

David J. Peeler
Comparison fields: 5 of 108
  • Molecular Biology 1.1k
  • Immunology 217
  • Cancer Research 182
  • Biomedical Engineering 172
  • Materials Chemistry 138
Replace Bertrand Z. Yeung with:
Bertrand Z. Yeung United States
Inês Mendes Pinto Portugal
Ángel Ayuso‐Sacido Spain
Charles M. Roco United States
Youwen Zhang China
Carla Lucia Esposito Italy
Bing Huang China
Kathryn M. Schultz United States
Carrie A. Ambler United Kingdom
Sari Tojkander Finland
Bertrand Z. Yeung United States View profile →
Citations per field, relative to David J. Peeler
David J. Peeler · 1×
Citations per year, relative to David J. Peeler
David J. Peeler · 1×

Countries citing papers authored by David J. Peeler

Since Specialization
Citations

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

Fields of papers citing papers by David J. Peeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Peeler. 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 David J. Peeler. The network helps show where David J. Peeler may publish in the future.

Co-authorship network of co-authors of David J. Peeler

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Peeler. A scholar is included among the top collaborators of David J. Peeler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Peeler. David J. Peeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 6
4 11
5 28
6 36
7 13
8 30
9 37
10 9
11 2
12 4
13 21
14 4
15
Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding breakdown →
877
16 62
17 58
18 23
19 46
20 134

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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