PJ Quesenberry
- Hematology top 0.5%
- Immunology top 5%
- Molecular Biology
- Genetics top 2%
- Oncology top 5%
- Co-authors
- Peters SoFM StewartRB CrittendenPA LowryHayley S. RamshawJ N IhleMA Jr GimbroneSonia Pearson‐White
- Topics
- Hematopoietic Stem Cell Transplantation (35 papers)Immune Response and Inflammation (9 papers)Virus-based gene therapy research (8 papers)
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
PJ Quesenberry
59 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 107
- Hematology 1.5k
- Immunology 717
- Molecular Biology 665
- Genetics 589
- Oncology 526
Countries citing papers authored by PJ Quesenberry
This map shows the geographic impact of PJ Quesenberry'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 PJ Quesenberry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites PJ Quesenberry more than expected).
Fields of papers citing papers by PJ Quesenberry
This network shows the impact of papers produced by PJ Quesenberry. 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 PJ Quesenberry. The network helps show where PJ Quesenberry may publish in the future.
Co-authorship network of co-authors of PJ Quesenberry
This figure shows the co-authorship network connecting the top 25 collaborators of PJ Quesenberry. A scholar is included among the top collaborators of PJ Quesenberry 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 PJ Quesenberry. PJ Quesenberry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 166 | |
| 3 | 18 | |
| 4 | Stem cell transplantation in the normal nonmyeloablated host: relationship between cell dose, schedule, and engraftment. | 119 |
| 5 | 12 | |
| 6 | Engraftment of normal murine marrow into nonmyeloablated host mice. | 37 |
| 7 | Interleukin-3/erythropoietin fusion proteins: in vitro effects on hematopoietic cells. | 8 |
| 8 | 11 | |
| 9 | 109 | |
| 10 | 19 | |
| 11 | Effect of adenine nucleotides on granulopoiesis and lithium-induced granulocytosis in long-term bone marrow cultures. | 14 |
| 12 | Effect of lithium on stem cell and stromal cell proliferation in vitro. | 9 |
| 13 | 101 | |
| 14 | Studies of the control of hemopoiesis in Dexter cultures. | 1 |
| 15 | 5 | |
| 16 | Cryopreservation of marrow and stromal progenitor cells: use of long-term liquid culture as a measure of the recovery of renewable hematopoietic and stromal cells. | 6 |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 20 | |
| 20 | 2 |
About PJ Quesenberry
PJ Quesenberry is a scholar working on Hematology, Genetics and Immunology, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (35 papers), Immune Response and Inflammation (9 papers) and Virus-based gene therapy research (8 papers). The work is most often cited by research in Hematology (1.5k citations), Genetics (589 citations) and Immunology (717 citations). PJ Quesenberry has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Peters So, FM Stewart, RB Crittenden, PA Lowry, Hayley S. Ramshaw, J N Ihle, MA Jr Gimbrone, Sonia Pearson‐White, IK McNiece and RK Shadduck. Their work appears in journals such as Blood, Leukemia and Bone Marrow Transplantation.
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.