Joshua L. Pollack
- Immunology top 1%
- Molecular Biology top 10%
- Oncology top 2%
- Genetics top 5%
- Surgery
- Co-authors
- David J. ErleMatthew F. KrummelMikhail BinnewiesAdil DaudMontgomery SlatkinAndrea J. BarczakSebastián AmigorenaAnne I. Sperling
- Topics
- Immune cells in cancer (6 papers)Immune Cell Function and Interaction (4 papers)Inflammation biomarkers and pathways (4 papers)
- Cited by
- ImmunologyOncologyPaleontology
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Joshua L. Pollack
26 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Immunology 1.9k
- Molecular Biology 1.1k
- Oncology 1.0k
- Genetics 487
- Surgery 277
Countries citing papers authored by Joshua L. Pollack
This map shows the geographic impact of Joshua L. Pollack'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 Joshua L. Pollack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua L. Pollack more than expected).
Fields of papers citing papers by Joshua L. Pollack
This network shows the impact of papers produced by Joshua L. Pollack. 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 Joshua L. Pollack. The network helps show where Joshua L. Pollack may publish in the future.
Co-authorship network of co-authors of Joshua L. Pollack
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua L. Pollack. A scholar is included among the top collaborators of Joshua L. Pollack 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 Joshua L. Pollack. Joshua L. Pollack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 91 | |
| 3 | Unleashing Type-2 Dendritic Cells to Drive Protective Antitumor CD4+ T Cell Immunitybreakdown → | 443 |
| 4 | 2 | |
| 5 | Detection of Succinate by Intestinal Tuft Cells Triggers a Type 2 Innate Immune Circuitbreakdown → | 374 |
| 6 | 206 | |
| 7 | 9 | |
| 8 | 84 | |
| 9 | 192 | |
| 10 | 12 | |
| 11 | 114 | |
| 12 | Dissecting the Tumor Myeloid Compartment Reveals Rare Activating Antigen-Presenting Cells Critical for T Cell Immunitybreakdown → | 889 |
| 13 | 68 | |
| 14 | 90 | |
| 15 | 26 | |
| 16 | 24 | |
| 17 | 60 | |
| 18 | 139 | |
| 19 | 116 | |
| 20 | 114 |
About Joshua L. Pollack
Joshua L. Pollack is a scholar working on Immunology, Neurology and Developmental Neuroscience, having authored 26 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Immune Cell Function and Interaction (4 papers) and Inflammation biomarkers and pathways (4 papers). The work is most often cited by research in Immunology (1.9k citations), Oncology (1.0k citations) and Paleontology (162 citations). Joshua L. Pollack has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David J. Erle, Matthew F. Krummel, Mikhail Binnewies, Adil Daud, Montgomery Slatkin, Andrea J. Barczak, Sebastián Amigorena, Anne I. Sperling, Denise M. Wolf and Diane L. Barber. Their work appears in journals such as Nature, Cell and SHILAP Revista de lepidopterología.
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.