Pablo Parker

3.7k citations
51 papers · 2.2k · h-index 25

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 36
    • Acute Myeloid Leukemia Research 8
    • Multiple Myeloma Research and Treatments 8
    • Cancer Treatment and Pharmacology 5

Pablo Parker

51 papers receiving 2.2k citations

Peers

Pablo Parker
Comparison fields: 5 of 88
  • Hematology 1.6k
  • Transplantation 297
  • Immunology 645
  • Genetics 229
  • Oncology 520
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Pablo Parker relative to Shelly Carter United States Shelly Carter's profile →
Citations per field
00.5×1.5×
Shelly Carter · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Pablo Parker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pablo Parker Line = papers co-authored together Pablo Parker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002290
2 1993211
3 2006208
4 2000135
5 2002112
6 200595
7 200791
8 200188
9 201279
10 198774
11 200972
12 199865
13 201865
14 200963
15 200553
16 200752
17 199551
18 199646
19 201040
20 201535

About Pablo Parker

Pablo Parker is a scholar working on Hematology, Oncology, Public Health, Environmental and Occupational Health, Immunology and Genetics, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (36 papers), Acute Lymphoblastic Leukemia research (9 papers), Acute Myeloid Leukemia Research (8 papers), Multiple Myeloma Research and Treatments (8 papers), Renal Transplantation Outcomes and Treatments (6 papers), Cancer Treatment and Pharmacology (5 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Hematology (1.6k citations), Transplantation (297 citations), Immunology (645 citations), Genetics (229 citations) and Oncology (520 citations). Pablo Parker has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Stephen J. Forman, Paul J. Martin, Laura Johnston, Mary E.D. Flowers, Barry E. Storer, Frederick R. Appelbaum, David S. Snyder, Karl G. Blume, G. Schmidt and Rainer Storb. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Blood, Bone Marrow Transplantation, Journal of Clinical Oncology and Cancer.

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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