Max E. Jacobson
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- interferon and immune responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
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- RNA Interference and Gene Delivery
- Inflammasome and immune disorders
- Advanced biosensing and bioanalysis techniques
Papers in
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- RNA Interference and Gene Delivery 4
- Inflammasome and immune disorders 2
- Advanced biosensing and bioanalysis techniques 1
- Histone Deacetylase Inhibitors Research 1
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- interferon and immune responses 4
- Immunotherapy and Immune Responses 2
- Immune Response and Inflammation 2
- Co-authors
- John T. Wilson (7 shared papers)Lihong Wang-Bishop (3 shared papers)Kyle W. Becker (3 shared papers)Olga Fedorova (3 shared papers)Anna Marie Pyle (3 shared papers)David L. Elion (1 shared paper)Donna J. Hicks (1 shared paper)Rebecca S. Cook (1 shared paper)
- Journals
- Biomaterials Science (2 papers)Molecular Cancer Therapeutics (1 paper)ACS Central Science (1 paper)ACS Nano (1 paper)Bioconjugate Chemistry (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Max E. Jacobson
9 papers receiving 400 citations
Peers
Comparison fields: 5 of 52
- Immunology 240
- Molecular Biology 252
- Pharmaceutical Science 20
- Biomaterials 36
- Oncology 69
Countries citing papers authored by Max E. Jacobson
This map shows the geographic impact of Max E. Jacobson'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 Max E. Jacobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max E. Jacobson more than expected).
Fields of papers citing papers by Max E. Jacobson
This network shows the impact of papers produced by Max E. Jacobson. 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 Max E. Jacobson. The network helps show where Max E. Jacobson may publish in the future.
Co-authors
The 25 scholars most cited alongside Max E. Jacobson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 133 | |
| 2 | 2019 | 108 | |
| 3 | 2018 | 53 | |
| 4 | 2020 | 29 | |
| 5 | 2021 | 27 | |
| 6 | 2019 | 22 | |
| 7 | 2017 | 18 | |
| 8 | 2018 | 15 | |
| 9 | 1969 | 7 |
About Max E. Jacobson
Max E. Jacobson is a scholar working on Molecular Biology, Immunology, Surgery, Political Science and International Relations and Physiology, having authored 9 papers that have together received 412 indexed citations. Recurring topics across this work include interferon and immune responses (4 papers), RNA Interference and Gene Delivery (4 papers), Immunotherapy and Immune Responses (2 papers), Immune Response and Inflammation (2 papers), Inflammasome and immune disorders (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Graphene and Nanomaterials Applications (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Immunology (240 citations), Molecular Biology (252 citations), Pharmaceutical Science (20 citations), Biomaterials (36 citations) and Oncology (69 citations). Max E. Jacobson has collaborated with scholars based in United States and Sweden. Frequent co-authors include John T. Wilson, Lihong Wang-Bishop, Kyle W. Becker, Olga Fedorova, Anna Marie Pyle, David L. Elion, Donna J. Hicks, Rebecca S. Cook, Violeta Sánchez and Paula I. González-Ericsson. Their work appears in journals such as Biomaterials Science, Molecular Cancer Therapeutics, ACS Central Science, ACS Nano 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.