BW Goodell

2.0k citations
11 papers · 1.7k · 1 hit paper · h-index 8

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 11
    • Chronic Myeloid Leukemia Treatments 1
    • Polyomavirus and related diseases 9
    • Neutropenia and Cancer Infections 2

BW Goodell

11 papers receiving 1.4k citations

BW Goodell's Hit Papers

One hundred patients with acute leukemia treated by chemotherapy, total body irradiation, and allogeneic marrow transplantation 1977 · 755 citations
7550+16+32Years since publication250500750

Peers

BW Goodell
Comparison fields: 5 of 66
  • Hematology 1.4k
  • Genetics 316
  • Oncology 456
  • Immunology 354
  • Transplantation 37
Replace Appelbaum Fr with:
Appelbaum Fr United States
Johnson Fl United States
GE Sale United States
LD Fisher United States
RP Witherspoon United States
Petersen Fb United States
J P Vernant France
M. T. Van Lint Italy
KC Doney United States
Irena Sniecinski United States
BW Goodell relative to Appelbaum Fr United States Appelbaum Fr's profile →
Citations per field
00.5×
Appelbaum Fr · 1×
Citations per year

Countries citing papers authored by BW Goodell

Since Specialization
Citations

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

Fields of papers citing papers by BW Goodell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside BW Goodell, 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 BW Goodell Line = papers co-authored together BW Goodell links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
One hundred patients with acute leukemia treated by chemotherapy, total body irradiation, and allogeneic marrow transplantation
Hit paper breakdown →
1977755
2 1982212
3 1979209
4 1976205
5 1979168
6 198362
7 197740
8 197610
9 19826
10 19832
11 19782

About BW Goodell

BW Goodell is a scholar working on Hematology, Oncology, Public Health, Environmental and Occupational Health, Surgery and Transplantation, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Polyomavirus and related diseases (9 papers), Acute Lymphoblastic Leukemia research (4 papers), Transplantation: Methods and Outcomes (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Neutropenia and Cancer Infections (2 papers), Chronic Myeloid Leukemia Treatments (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Hematology (1.4k citations), Genetics (316 citations), Oncology (456 citations), Immunology (354 citations) and Transplantation (37 citations). BW Goodell has collaborated with scholars based in United States, South Africa and Israel. Frequent co-authors include CD Buckner, PL Weiden, Clift Ra, JE Sanders, Thomas Ed, A Fefer, Nancy Flournoy, R Storb, Neiman Pe and F L Johnson. Their work appears in journals such as Blood.

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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