Jeff E. Mold
Impact in
- Virology top 1%
- HIV Research and Treatment
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
Papers in
- Immunology 21
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 15
- Reproductive System and Pregnancy 6
- Immunotherapy and Immune Responses 4
- IL-33, ST2, and ILC Pathways 3
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- Single-cell and spatial transcriptomics 13
- Co-authors
- Joseph M. McCune (14 shared papers)Jakob Michaëlsson (12 shared papers)Trevor D. Burt (5 shared papers)Douglas F. Nixon (2 shared papers)Jonas Frisén (12 shared papers)Michael P. Busch (1 shared paper)Marcus O. Muench (1 shared paper)Karen Beckerman (1 shared paper)
- Journals
- The Journal of Immunology (5 papers)Nature Communications (4 papers)Bioinformatics (3 papers)Proceedings of the National Academy of Sciences (3 papers)Science (3 papers)
- Partner nations
- SwedenUnited StatesFrance
In The Last Decade
Jeff E. Mold
40 papers receiving 3.9k citations
Jeff E. Mold's Hit Papers
Peers
Comparison fields: 5 of 119
- Virology 543
- Biological Psychiatry 263
- Immunology 1.9k
- Neurology 375
- Obstetrics and Gynecology 190
Countries citing papers authored by Jeff E. Mold
This map shows the geographic impact of Jeff E. Mold'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 Jeff E. Mold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff E. Mold more than expected).
Fields of papers citing papers by Jeff E. Mold
This network shows the impact of papers produced by Jeff E. Mold. 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 Jeff E. Mold. The network helps show where Jeff E. Mold may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff E. Mold, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Maternal Alloantigens Promote the Development of Tolerogenic Fetal Regulatory T Cells in Utero Hit paper breakdown → | 2008 | 672 |
| 2 | 2010 | 441 | |
| 3 | 2017 | 369 | |
| 4 | 2010 | 355 | |
| 5 | 2009 | 327 | |
| 6 | 2006 | 205 | |
| 7 | 2019 | 177 | |
| 8 | 2008 | 170 | |
| 9 | 2017 | 166 | |
| 10 | 2012 | 112 | |
| 11 | 2014 | 110 | |
| 12 | 2016 | 103 | |
| 13 | 2019 | 93 | |
| 14 | 2023 | 72 | |
| 15 | 2015 | 72 | |
| 16 | 2010 | 72 | |
| 17 | 2020 | 66 | |
| 18 | 2017 | 59 | |
| 19 | 2021 | 55 | |
| 20 | 2019 | 48 |
About Jeff E. Mold
Jeff E. Mold is a scholar working on Immunology, Molecular Biology, Cancer Research, Virology and Physiology, having authored 41 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (15 papers), Single-cell and spatial transcriptomics (13 papers), Cancer Genomics and Diagnostics (6 papers), Reproductive System and Pregnancy (6 papers), Immunotherapy and Immune Responses (4 papers), HIV Research and Treatment (4 papers) and IL-33, ST2, and ILC Pathways (3 papers). The work is most often cited by research in Virology (543 citations), Biological Psychiatry (263 citations), Immunology (1.9k citations), Neurology (375 citations) and Obstetrics and Gynecology (190 citations). Jeff E. Mold has collaborated with scholars based in Sweden, United States and France. Frequent co-authors include Joseph M. McCune, Jakob Michaëlsson, Trevor D. Burt, Douglas F. Nixon, Jonas Frisén, Michael P. Busch, Marcus O. Muench, Karen Beckerman, Tzong‐Hae Lee and Bittoo Kanwar. Their work appears in journals such as The Journal of Immunology, Nature Communications, Bioinformatics, Proceedings of the National Academy of Sciences and Science.
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.