Pablo Parker

1.2k total citations
10 papers, 741 citations indexed

About

Pablo Parker is a scholar working on Hematology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Pablo Parker has authored 10 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 4 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Pablo Parker's work include Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers) and Acute Lymphoblastic Leukemia research (2 papers). Pablo Parker is often cited by papers focused on Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers) and Acute Lymphoblastic Leukemia research (2 papers). Pablo Parker collaborates with scholars based in United States. Pablo Parker's co-authors include Stephen J. Forman, Anthony S. Stein, Amrita Krishnan, David S. Snyder, Henry C. Fung, Joyce C. Niland, Margaret O’Donnell, Ricardo Spielberger, Ravi Bhatia and Ashwin Kashyap and has published in prestigious journals such as Journal of Clinical Oncology, Blood and European Radiology.

In The Last Decade

Pablo Parker

10 papers receiving 726 citations

Peers

Pablo Parker
James Gajewski United States
Robert Witherspoon United States
PI Warkentin United States
KG Blume United States
Philip A. Stevenson United States
Daniel Couriel United States
James Gajewski United States
Pablo Parker
Citations per year, relative to Pablo Parker Pablo Parker (= 1×) peers James Gajewski

Countries citing papers authored by Pablo Parker

Since Specialization
Citations

This map shows the geographic impact of Pablo Parker'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 Pablo Parker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Parker more than expected).

Fields of papers citing papers by Pablo Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Parker. 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 Pablo Parker. The network helps show where Pablo Parker may publish in the future.

Co-authorship network of co-authors of Pablo Parker

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Parker. A scholar is included among the top collaborators of Pablo Parker 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 Pablo Parker. Pablo Parker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chen, Bihong T., et al.. (2012). Brain imaging findings in symptomatic patients after allogeneic haematopoietic stem cell transplantation: correlation with clinical outcome. European Radiology. 22(10). 2273–2281. 8 indexed citations
2.
Sorrell, April, Carin R. Espenschied, Wei Wang, et al.. (2012). Hereditary Leukemia Due to Rare <i>RUNX</i>1c Splice Variant (L472X) Presents with Eczematous Phenotype. International Journal of Clinical Medicine. 3(7). 607–613. 12 indexed citations
3.
Kirschbaum, Mark, Maria Delioukina, Leslie Popplewell, et al.. (2009). Phase I Study of Bortezomib in Combination with Gemcitabine in Relapsed/Refractory Intermediate Grade B-Cell and Mantle Cell Non-Hodgkin's Lymphoma.. Blood. 114(22). 1682–1682. 2 indexed citations
4.
Nakamura, Ryotaro, David Smith, Joycelynne Palmer, et al.. (2008). Impact of Graft Cell Dose on Transplant Outcomes following Unrelated Donor Allogeneic Peripheral Blood Stem Cell Transplantation: Higher CD34+ Cell Doses Are Associated with Decreased Relapse Rates. Biology of Blood and Marrow Transplantation. 14(4). 449–457. 52 indexed citations
5.
Stein, Anthony S., Margaret O’Donnell, Marilyn L. Slovak, et al.. (2003). Interleukin-2 After Autologous Stem-Cell Transplantation for Adult Patients With Acute Myeloid Leukemia in First Complete Remission. Journal of Clinical Oncology. 21(4). 615–623. 25 indexed citations
6.
Bhatia, Ravi, Andrew D. Louie, Margaret O’Donnell, et al.. (2001). Solid Cancers After Bone Marrow Transplantation. Journal of Clinical Oncology. 19(2). 464–471. 228 indexed citations
7.
Kashyap, Ashwin, Fouad Kandeel, Dave Yamauchi, et al.. (2000). Effects of allogeneic bone marrow transplantation on recipient bone mineral density: A prospective study. Biology of Blood and Marrow Transplantation. 6(3). 344–351. 44 indexed citations
8.
Krishnan, Amrita, Ravi Bhatia, Marilyn L. Slovak, et al.. (2000). Predictors of therapy-related leukemia and myelodysplasia following autologous transplantation for lymphoma: an assessment of risk factors. Blood. 95(5). 1588–1593. 205 indexed citations
9.
Porter, David, Robert H. Collins, Christine Hardy, et al.. (2000). Treatment of relapsed leukemia after unrelated donor marrow transplantation with unrelated donor leukocyte infusions.. Blood. 95(4). 1214–21. 148 indexed citations
10.
Nademanee, Auayporn, Arturo Molina, Henry C. Fung, et al.. (1999). High-dose chemo/radiotherapy and autologous bone marrow or stem cell transplantation for poor-risk advanced-stage Hodgkin's disease during first partial or complete remission. Biology of Blood and Marrow Transplantation. 5(5). 292–298. 17 indexed citations

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.

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