Andrew E. Goodspeed

1.6k citations
36 papers · 1.1k · h-index 17

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Cells and Metastasis 3
    • CAR-T cell therapy research 2
    • Immune cells in cancer 2

Andrew E. Goodspeed

34 papers receiving 1.1k citations

Peers

Andrew E. Goodspeed
Comparison fields: 5 of 94
  • Cancer Research 206
  • Oncology 249
  • Immunology 199
  • Molecular Biology 481
  • Hematology 47
Replace Nino Keshelava with:
Nino Keshelava United States
Tsuyoshi Takahashi Japan
Fabiana Conciatori Italy
Ling Cen United States
Ana Slipicevic Norway
Jonathan Forrest Anker United States
Curzio Rüegg Switzerland
Lei Dong China
Peter Sidaway United Kingdom
Derya Duranyıldız Türkiye
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Citations per field
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Nino Keshelava · 1×
Citations per year

Countries citing papers authored by Andrew E. Goodspeed

Since Specialization
Citations

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

Fields of papers citing papers by Andrew E. Goodspeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew E. Goodspeed. 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 Andrew E. Goodspeed. The network helps show where Andrew E. Goodspeed may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015227
2 2021118
3 201975
4 202168
5 201866
6 201959
7 202158
8 202150
9 202149
10 201644
11 202041
12 202038
13 202036
14 202229
15 202425
16 201923
17 202221
18 202110
19 20188
20 20208

About Andrew E. Goodspeed

Andrew E. Goodspeed is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), Cancer Cells and Metastasis (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Prostate Cancer Treatment and Research (2 papers), CAR-T cell therapy research (2 papers), Diabetes and associated disorders (2 papers), Protein Degradation and Inhibitors (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (206 citations), Oncology (249 citations), Immunology (199 citations), Molecular Biology (481 citations) and Hematology (47 citations). Andrew E. Goodspeed has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include James C. Costello, Joe W. Gray, Laura M. Heiser, Annie Jean, Daniel L. Gustafson, Andrew M. Thorburn, Brent E. Fitzwalter, Michael John Morgan, Christina G. Towers and Daniel P. Regan. Their work appears in journals such as Cancer Research, Molecular Cancer Research, Clinical Cancer Research, Cancers and PLoS ONE.

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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