Ellen Wei

883 citations
26 papers · 664 indexed · h-index 10

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 9
    • Chronic Myeloid Leukemia Treatments 4
    • Chronic Lymphocytic Leukemia Research 12

Ellen Wei

24 papers receiving 648 citations

Peers

Ellen Wei
Comparison fields: 5 of 64
  • Hematology 250
  • Genetics 176
  • Pathology and Forensic Medicine 146
  • Molecular Biology 425
  • Oncology 156
Replace Jennifer Lauchle with:
Jennifer Lauchle United States
Maher Albitar United States
Zhihong Zeng United States
Richard Monni France
Pavankumar N.G. Reddy Germany
Guilhem Requirand France
Cristina Largo Spain
Matthew S. Zabriskie United States
Alison M. McCaig United Kingdom
Shih-Shih Chen United States
Ellen Wei relative to Jennifer Lauchle United States Jennifer Lauchle's profile →
Citations per field
00.5×1.5×1.8×
Jennifer Lauchle · 1×
Citations per year

Countries citing papers authored by Ellen Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004223
2 2010109
3 2006108
4 200654
5 200445
6 200728
7 202120
8 201614
9 200112
10 20089
11 20118
12 20188
13 20187
14 20124
15 20123
16 20123
17 20052
18 20231
19 20041
20 20111

About Ellen Wei

Ellen Wei is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Transplantation and Immunology, having authored 26 papers that have together received 664 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (12 papers), Multiple Myeloma Research and Treatments (9 papers), Lymphoma Diagnosis and Treatment (7 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Protein Tyrosine Phosphatases (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Fibroblast Growth Factor Research (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Hematology (250 citations), Genetics (176 citations), Pathology and Forensic Medicine (146 citations), Molecular Biology (425 citations) and Oncology (156 citations). Ellen Wei has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include Suzanne Trudel, A. Keith Stewart, Zhihua Li, Hong Chang, Carla Heise, Christine Chen, Marion Wiesmann, Donna Reece, P. Leif Bergsagel and Vishal Kukreti. Their work appears in journals such as Blood, Molecular Cancer Therapeutics, Clinical Cancer Research, Journal of Clinical Oncology and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026