Stacy S. Shord

3.8k citations
69 papers · 2.7k indexed · 2 hit papers · h-index 28

Stacy S. Shord

66 papers receiving 2.6k citations

Hit Papers

FDA Approval Summary: (Daunorubicin and Cytarabine) Lipos...2522018202620202023200400600

Peers

Stacy S. Shord
Comparison fields: 5 of 130
  • Pharmacology 458
  • Oncology 1.0k
  • Hematology 274
  • Infectious Diseases 272
  • Genetics 153
Replace Gareth J. Veal with:
Gareth J. Veal United Kingdom
Antonello Di Paolo Italy
Rolf W. Sparidans Netherlands
Lionel D. Lewis United States
Angélo Paci France
Akinobu Hamada Japan
Barry R. Goldspiel United States
Johan W. Smit Netherlands
Benoı̂t Blanchet France
Cody J. Peer United States
Stacy S. Shord relative to Gareth J. Veal United Kingdom Gareth J. Veal's profile →
Citations per field
00.5×1.5×1.9×
Gareth J. Veal · 1×
Citations per year

Countries citing papers authored by Stacy S. Shord

Since Specialization
Citations

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

Fields of papers citing papers by Stacy S. Shord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stacy S. Shord. 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 Stacy S. Shord. The network helps show where Stacy S. Shord may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20235
5 20236
6 20208
7
FDA Approval Summary: (Daunorubicin and Cytarabine) Liposome for Injection for the Treatment of Adults with High-Risk Acute Myeloid Leukemiabreakdown →
2018252
8
FDA Approval Summary: Tocilizumab for Treatment of Chimeric Antigen Receptor T Cell-Induced Severe or Life-Threatening Cytokine Release Syndromebreakdown →
2018610
9 201853
10 20139
11 201325
12 201028
13 20103
14 20096
15 200921
16
Gene expression ratio of deoxycytidine kinase (dCK) to cytidine deaminase (CDA) corresponds with cytotoxicity in solid tumors in vitro
20082
17 200813
18 20073
19 200620
20 200328

About Stacy S. Shord

Stacy S. Shord is a scholar working on Pharmacology, Hematology and Oncology, having authored 69 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (15 papers), Cancer Treatment and Pharmacology (13 papers), Statistical Methods in Clinical Trials (7 papers), Lung Cancer Treatments and Mutations (6 papers), Colorectal Cancer Treatments and Studies (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Erythropoietin and Anemia Treatment (4 papers) and Pharmaceutical studies and practices (4 papers). The work is most often cited by research in Pharmacology (458 citations), Oncology (1.0k citations) and Hematology (274 citations). Stacy S. Shord has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Richard Pazdur, Ann T. Farrell, Celeste Lindley, Donna Przepiorka, Lei Nie, Weishi Yuan, Edward L. LeCluyse, Robert Q. Le, Liang Li and Bahru Habtemariam. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

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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