Michelle Becker‐Hapak
- Immunology top 1%
- Immune Cell Function and Interaction 17
- Immunotherapy and Immune Responses 12
- T-cell and B-cell Immunology 10
- Oncology top 2%
- CAR-T cell therapy research 13
- Molecular Biology top 5%
- vaccines and immunoinformatics approaches 6
- RNA Interference and Gene Delivery 4
- Genetics top 5%
- Virus-based gene therapy research 4
- Virology top 5%
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Steven F. DowdySandra S. McAllisterSergei A. EzhevskyGerald P. LinetteAlan L. HoBeatriz M. CarrenoNatalie A. LissyWen‐Rong Lie
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
Michelle Becker‐Hapak
44 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 1.7k
- Oncology 1.5k
- Molecular Biology 2.2k
- Genetics 530
- Virology 80
Countries citing papers authored by Michelle Becker‐Hapak
This map shows the geographic impact of Michelle Becker‐Hapak'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 Michelle Becker‐Hapak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Becker‐Hapak more than expected).
Fields of papers citing papers by Michelle Becker‐Hapak
This network shows the impact of papers produced by Michelle Becker‐Hapak. 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 Michelle Becker‐Hapak. The network helps show where Michelle Becker‐Hapak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michelle Becker‐Hapak, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 8 | |
| 4 | 2021 | 44 | |
| 5 | 2021 | 23 | |
| 6 | 2019 | 16 | |
| 7 | 2017 | 2 | |
| 8 | A dendritic cell vaccine increases the breadth and diversity of melanoma neoantigen-specific T cellsbreakdown → | 2015 | 997 |
| 9 | 2013 | 135 | |
| 10 | 2006 | 85 | |
| 11 | 2005 | 24 | |
| 12 | 2002 | 172 | |
| 13 | 2001 | 176 | |
| 14 | 2001 | 331 | |
| 15 | Transduction of full-length TAT fusion proteins into mammalian cells: TAT-p27Kip1 induces cell migrationbreakdown → | 1998 | 819 |
| 16 | 1998 | 105 | |
| 17 | 1997 | 8 | |
| 18 | 1997 | 28 | |
| 19 | 1996 | 97 | |
| 20 | Antigenic Differences Between Blastocystis hominis and Blastocystis sp. Revealed by Polyclonal and Monoclonal Antibodies | 1995 | 8 |
About Michelle Becker‐Hapak
Michelle Becker‐Hapak is a scholar working on Immunology, Oncology, Dermatology, Molecular Biology and Genetics, having authored 44 papers that have together received 3.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), CAR-T cell therapy research (13 papers), Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (10 papers), vaccines and immunoinformatics approaches (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Virus-based gene therapy research (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (1.5k citations), Molecular Biology (2.2k citations), Genetics (530 citations) and Virology (80 citations). Michelle Becker‐Hapak has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Steven F. Dowdy, Sandra S. McAllister, Sergei A. Ezhevsky, Gerald P. Linette, Alan L. Ho, Beatriz M. Carreno, Natalie A. Lissy, Wen‐Rong Lie, Eric L. Snyder and Vincent Magrini. Their work appears in journals such as Blood, Cancer Research, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences and Clinical Cancer Research.
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.