Chance John Luckey
- Immunology top 2%
- Molecular Biology top 10%
- Oncology top 10%
- Hematology top 5%
- Spectroscopy top 5%
- Co-authors
- Jarrod A. MartoVíctor H. EngelhardChristophe BenoıstAnanda W. GoldrathDiane MathisJeffrey ShabanowitzDonald F. HuntScott B. Ficarro
- Topics
- Blood groups and transfusion (13 papers)Erythrocyte Function and Pathophysiology (12 papers)Immunotherapy and Immune Responses (9 papers)
- Cited by
- ImmunologyHematologySpectroscopy
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesItalySingapore
In The Last Decade
Chance John Luckey
42 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Immunology 923
- Molecular Biology 892
- Oncology 260
- Hematology 232
- Spectroscopy 219
Countries citing papers authored by Chance John Luckey
This map shows the geographic impact of Chance John Luckey'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 Chance John Luckey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chance John Luckey more than expected).
Fields of papers citing papers by Chance John Luckey
This network shows the impact of papers produced by Chance John Luckey. 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 Chance John Luckey. The network helps show where Chance John Luckey may publish in the future.
Co-authorship network of co-authors of Chance John Luckey
This figure shows the co-authorship network connecting the top 25 collaborators of Chance John Luckey. A scholar is included among the top collaborators of Chance John Luckey 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 Chance John Luckey. Chance John Luckey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 17 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 24 | |
| 8 | 15 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 35 | |
| 12 | 87 | |
| 13 | 75 | |
| 14 | 2 | |
| 15 | 213 | |
| 16 | 89 | |
| 17 | 72 | |
| 18 | 66 | |
| 19 | 107 | |
| 20 | 28 |
About Chance John Luckey
Chance John Luckey is a scholar working on Hematology, Immunology and Biochemistry, having authored 42 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blood groups and transfusion (13 papers), Erythrocyte Function and Pathophysiology (12 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Immunology (923 citations), Hematology (232 citations) and Spectroscopy (219 citations). Chance John Luckey has collaborated with scholars based in United States, Italy and Singapore. Frequent co-authors include Jarrod A. Marto, Víctor H. Engelhard, Christophe Benoıst, Ananda W. Goldrath, Diane Mathis, Jeffrey Shabanowitz, Donald F. Hunt, Scott B. Ficarro, Deepta Bhattacharya and Irving L. Weissman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.