J D Gearhart
- Molecular Biology top 10%
- Genetics top 5%
- Physiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Hematology top 5%
- Co-authors
- Mary Lou Oster‐GraniteGregg L. SemenzaStylianos E. AntonarakisJoseph T. CoyleRoger H. ReevesMonica D. TraystmanStephen T. KouryMervyn J. Monteiro
- Topics
- CRISPR and Genetic Engineering (9 papers)Pluripotent Stem Cells Research (8 papers)Animal Genetics and Reproduction (8 papers)
- Cited by
- HematologyGeneticsMolecular Biology
- Partner nations
- United StatesItaly
In The Last Decade
J D Gearhart
35 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.1k
- Genetics 586
- Physiology 354
- Public Health, Environmental and Occupational Health 300
- Hematology 260
Countries citing papers authored by J D Gearhart
This map shows the geographic impact of J D Gearhart'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 J D Gearhart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J D Gearhart more than expected).
Fields of papers citing papers by J D Gearhart
This network shows the impact of papers produced by J D Gearhart. 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 J D Gearhart. The network helps show where J D Gearhart may publish in the future.
Co-authorship network of co-authors of J D Gearhart
This figure shows the co-authorship network connecting the top 25 collaborators of J D Gearhart. A scholar is included among the top collaborators of J D Gearhart 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 J D Gearhart. J D Gearhart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 87 | |
| 3 | 11 | |
| 4 | Interpretation The hES cell-derived antigen-presenting cells could be used to regulate alloreactive T cells and induce immune tolerance for improvement of the transplant acceptance of hES-cell derivatives. Functional antigen-presenting leucocytes derived from human embryonic stem cells in vitro | 6 |
| 5 | 1 | |
| 6 | 48 | |
| 7 | 37 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 148 | |
| 11 | Identification of genes differentially expressed during mammalian embryogenesis: subtraction hybridization of embryonic cDNA libraries. | 1 |
| 12 | 31 | |
| 13 | 39 | |
| 14 | 32 | |
| 15 | 27 | |
| 16 | 118 | |
| 17 | 75 | |
| 18 | 53 | |
| 19 | 25 | |
| 20 | 85 |
About J D Gearhart
J D Gearhart is a scholar working on Genetics, Molecular Biology and Physiology, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (8 papers) and Animal Genetics and Reproduction (8 papers). The work is most often cited by research in Hematology (260 citations), Genetics (586 citations) and Molecular Biology (1.1k citations). J D Gearhart has collaborated with scholars based in United States and Italy. Frequent co-authors include Mary Lou Oster‐Granite, Gregg L. Semenza, Stylianos E. Antonarakis, Joseph T. Coyle, Roger H. Reeves, Monica D. Traystman, Stephen T. Koury, Mervyn J. Monteiro, Don W. Cleveland and Paul N. Hoffman. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.
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.