Ellen Zhang

563 citations
23 papers · 135 · h-index 7

Impact in

    • Vascular Anomalies and Treatments
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Ellen Zhang

21 papers receiving 131 citations

Peers

Ellen Zhang
Comparison fields: 5 of 54
  • Genetics 27
  • Neurology 25
  • Health 13
  • Nephrology 9
  • Marketing 7
Replace Juan Rodríguez with:
Juan Rodríguez Sweden
Neili Xu China
Adam R. Davis United States
Patti Krautscheid United States
Matheus Rodrigues Lopes Brazil
Claudia Pfleger Denmark
Hans‐Jürgen Hurtz Germany
Nao Oguro Japan
Chunwen Zheng China
Perla Eleftheriou United Kingdom
Ellen Zhang relative to Juan Rodríguez Sweden Juan Rodríguez's profile →
Citations per field
00.5×1.7×
Juan Rodríguez · 1×
Citations per year

Countries citing papers authored by Ellen Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201938
2 202219
3 202214
4 20179
5 20248
6 20237
7 20236
8 20235
9 20244
10 20194
11 20223
12 20233
13 20233
14 20242
15 20232
16 20232
17 20231
18 20231
19 20231
20 20201

About Ellen Zhang

Ellen Zhang is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Genetics, Molecular Biology and Surgery, having authored 23 papers that have together received 135 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Vascular Anomalies and Treatments (5 papers), HER2/EGFR in Cancer Research (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Cancer Research and Treatments (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Genetics (27 citations), Neurology (25 citations), Health (13 citations), Nephrology (9 citations) and Marketing (7 citations). Ellen Zhang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Steven G. DuBois, Hanny Al‐Samkari, Grace F. Crotty, Michael A. Schwarzschild, Ning Xia, Josanna Rodriguez‐Lopez, Alberto Ascherio, Robert Logan, Xiqun Chen and Eric A. Macklin. Their work appears in journals such as Cancer Research, Blood Advances, Blood, Journal of Thrombosis and Haemostasis 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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