Abigail E. Case

441 citations
8 papers · 246 · h-index 6

Impact in

Papers in

    • Acute Myeloid Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 3
    • Chronic Lymphocytic Leukemia Research 3

Abigail E. Case

8 papers receiving 240 citations

Peers

Abigail E. Case
Comparison fields: 5 of 76
  • Hematology 48
  • Statistics and Probability 28
  • Cell Biology 25
  • Economics and Econometrics 40
  • Immunology 28
Replace Violeta Stoyanova‐Beninska with:
Violeta Stoyanova‐Beninska Netherlands
Aurora Fuiani Italy
Elisabetta Verdun di Cantogno United States
Katherine I. Miller Needleman United States
Dagmar Walter Germany
Majid Anderesi United States
B Koehler Poland
Rupert Faraway United Kingdom
Ian Winburn United Kingdom
Seth Robey United States
Abigail E. Case relative to Violeta Stoyanova‐Beninska Netherlands Violeta Stoyanova‐Beninska's profile →
Citations per field
00.5×5.6×
Violeta Stoyanova‐Beninska · 1×
Citations per year

Countries citing papers authored by Abigail E. Case

Since Specialization
Citations

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

Fields of papers citing papers by Abigail E. Case

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202199
2 201844
3 201939
4 202023
5 202020
6 202018
7 20202
8 20201

About Abigail E. Case

Abigail E. Case is a scholar working on Hematology, Genetics, Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 246 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Zebrafish Biomedical Research Applications (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Advanced Causal Inference Techniques (1 paper), Melanoma and MAPK Pathways (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Hematology (48 citations), Statistics and Probability (28 citations), Cell Biology (25 citations), Economics and Econometrics (40 citations) and Immunology (28 citations). Abigail E. Case has collaborated with scholars based in United States, Austria and France. Frequent co-authors include Jeremy A. Rassen, Elizabeth M. Garry, Chengcheng Meng, Martin Sattler, Ellen Weisberg, Jinhua Wang, Sophia Adamia, Sara J. Buhrlage, Richard M. Stone and Gerald B. Downes. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Leukemia, Clinical Pharmacology & Therapeutics, Cancers and British Journal of 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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