Lewis L. Lanier
- Immunology top 0.01%
- Oncology top 0.05%
- Molecular Biology top 0.2%
- Epidemiology top 0.1%
- Hematology top 0.05%
- Co-authors
- Joseph H. PhillipsJoseph C. SunAdelheid CerwenkaJun WuPeter ParhamMiyuki AzumaJoshua BeilkeJeffrey V. Ravetch
- Topics
- Immune Cell Function and Interaction (372 papers)T-cell and B-cell Immunology (275 papers)Immunotherapy and Immune Responses (69 papers)
- Cited by
- ImmunologyOncologyHematology
- Partner nations
- United StatesFranceJapan
In The Last Decade
Lewis L. Lanier
466 papers receiving 70.7k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Immunology 60.8k
- Oncology 14.1k
- Molecular Biology 10.0k
- Epidemiology 7.9k
- Hematology 5.2k
Countries citing papers authored by Lewis L. Lanier
This map shows the geographic impact of Lewis L. Lanier'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 Lewis L. Lanier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lewis L. Lanier more than expected).
Fields of papers citing papers by Lewis L. Lanier
This network shows the impact of papers produced by Lewis L. Lanier. 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 Lewis L. Lanier. The network helps show where Lewis L. Lanier may publish in the future.
Co-authorship network of co-authors of Lewis L. Lanier
This figure shows the co-authorship network connecting the top 25 collaborators of Lewis L. Lanier. A scholar is included among the top collaborators of Lewis L. Lanier 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 Lewis L. Lanier. Lewis L. Lanier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 7 | |
| 3 | 10 | |
| 4 | 9 | |
| 5 | 23 | |
| 6 | 20 | |
| 7 | 134 | |
| 8 | 59 | |
| 9 | 154 | |
| 10 | 144 | |
| 11 | 44 | |
| 12 | 242 | |
| 13 | Expansion of a unique CD57 + NKG2C hi natural killer cell subset during acute human cytomegalovirus infectionbreakdown → | 618 |
| 14 | Cytomegalovirus reactivation after allogeneic transplantation promotes a lasting increase in educated NKG2C+ natural killer cells with potent functionbreakdown → | 491 |
| 15 | 56 | |
| 16 | 219 | |
| 17 | 481 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 233 |
About Lewis L. Lanier
Lewis L. Lanier is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 470 papers that have together received 72.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (372 papers), T-cell and B-cell Immunology (275 papers) and Immunotherapy and Immune Responses (69 papers). The work is most often cited by research in Immunology (60.8k citations), Oncology (14.1k citations) and Hematology (5.2k citations). Lewis L. Lanier has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Joseph H. Phillips, Joseph C. Sun, Adelheid Cerwenka, Jun Wu, Peter Parham, Miyuki Azuma, Joshua Beilke, Jeffrey V. Ravetch, Brian C. Corliss and Jessica A. Hamerman. 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.