Rachel Niec
- Immunology top 0.5%
- Molecular Biology
- Oncology top 5%
- Genetics top 10%
- Physiology top 10%
- Co-authors
- Alexander Y. RudenskySteven Z. JosefowiczPiper M. TreutingDale T. UmetsuHye Young KimYe ZhengTakatoshi ChinenShimon Sakaguchi
- Topics
- Immune Cell Function and Interaction (8 papers)T-cell and B-cell Immunology (8 papers)Immunotherapy and Immune Responses (4 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Rachel Niec
22 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 2.7k
- Molecular Biology 594
- Oncology 490
- Genetics 253
- Physiology 231
Countries citing papers authored by Rachel Niec
This map shows the geographic impact of Rachel Niec'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 Rachel Niec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Niec more than expected).
Fields of papers citing papers by Rachel Niec
This network shows the impact of papers produced by Rachel Niec. 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 Rachel Niec. The network helps show where Rachel Niec may publish in the future.
Co-authorship network of co-authors of Rachel Niec
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Niec. A scholar is included among the top collaborators of Rachel Niec 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 Rachel Niec. Rachel Niec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 80 | |
| 5 | 0 | |
| 6 | 53 | |
| 7 | 36 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 284 | |
| 12 | 24 | |
| 13 | The plasticity and stability of regulatory T cellsbreakdown → | 392 |
| 14 | 381 | |
| 15 | 480 | |
| 16 | Extrathymically generated regulatory T cells control mucosal TH2 inflammationbreakdown → | 651 |
| 17 | 344 | |
| 18 | Stability of the Regulatory T Cell Lineage in Vivobreakdown → | 553 |
| 19 | A contribution to the study of gastrointestinal parasitism in guanacos and llamas | 2 |
| 20 | Evaluation of certain factors related to subclinical parasitism in cattle in Argentina. | 1 |
About Rachel Niec
Rachel Niec is a scholar working on Immunology, Small Animals and Gastroenterology, having authored 26 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (2.7k citations), Immunology and Allergy (116 citations) and Oncology (490 citations). Rachel Niec has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Alexander Y. Rudensky, Steven Z. Josefowicz, Piper M. Treuting, Dale T. Umetsu, Hye Young Kim, Ye Zheng, Takatoshi Chinen, Shimon Sakaguchi, Dario A.A. Vignali and Herman Waldmann. Their work appears in journals such as Nature, Science and Cell.
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.