Ellen Ingalla

1.3k citations
13 papers · 356 · h-index 5

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Protein Degradation and Inhibitors 3
    • Glycosylation and Glycoproteins Research 2
    • Cancer therapeutics and mechanisms 2
    • Estrogen and related hormone effects 6
    • Chronic Lymphocytic Leukemia Research 3

Ellen Ingalla

12 papers receiving 354 citations

Peers

Ellen Ingalla
Comparison fields: 5 of 46
  • Hematology 123
  • Genetics 66
  • Oncology 121
  • Molecular Biology 228
  • Pathology and Forensic Medicine 47
Replace Nguyen Tan with:
Nguyen Tan United States
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Alexandria Petrusich United States
Jacob Haaber Denmark
Connie Qi Canada
Stéphane Raynaud France
Johannes M. Waldschmidt Germany
Cristiana Di Bello Italy
T Kinoshita Japan
Alexandra Oltová Czechia
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Citations per year

Countries citing papers authored by Ellen Ingalla

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Ingalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2016227
2 200672
3 201421
4 202211
5 20135
6 20234
7 20134
8 20204
9 20084
10 20201
11 20161
12 20191
13
Could mTOR be a therapeutic target for bladder cancer
20081

About Ellen Ingalla

Ellen Ingalla is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 13 papers that have together received 356 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Protein Degradation and Inhibitors (3 papers), Advanced Breast Cancer Therapies (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Hematology (123 citations), Genetics (66 citations), Oncology (121 citations), Molecular Biology (228 citations) and Pathology and Forensic Medicine (47 citations). Ellen Ingalla has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Deepak Sampath, Jason Oeh, Wayne J. Fairbrother, Sophie Maïga, Martine Amiot, Walter C. Darbonne, Michael J. Mitten, Nguyen Tan, Erwin R. Boghaert and A. Young. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Clinical Cancer Research, Blood and Biopharmaceutics & Drug Disposition.

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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