Anna E. Vilgelm

3.4k citations
49 papers · 2.0k · h-index 24

Impact in

  • Oncology top 2%
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related Molecular Pathways
    • CAR-T cell therapy research
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Cancer-related Molecular Pathways 12
    • Cancer Immunotherapy and Biomarkers 8
    • CAR-T cell therapy research 5
    • Cancer Cells and Metastasis 4
    • Chemokine receptors and signaling 4

Anna E. Vilgelm

47 papers receiving 1.9k citations

Peers

Anna E. Vilgelm
Comparison fields: 5 of 98
  • Oncology 962
  • Immunology 589
  • Biotechnology 112
  • Cancer Research 162
  • Molecular Biology 713
Replace Xinhui Wang with:
Xinhui Wang United States
Sanaz Memarzadeh United States
Ángel García-Díaz Spain
Hazem Ghebeh Saudi Arabia
Venkatesh Krishnan United States
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Won Jin Ho United States
Pauline Andreu United States
Li-Chuan Chan Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Anna E. Vilgelm

Since Specialization
Citations

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

Fields of papers citing papers by Anna E. Vilgelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019280
2 2010161
3 2021101
4 201693
5 201691
6 201991
7 201484
8 201284
9 200684
10 201576
11 202166
12 202059
13 201859
14 201954
15 200853
16 201352
17 201250
18 200844
19 200734
20 202233

About Anna E. Vilgelm

Anna E. Vilgelm is a scholar working on Oncology, Molecular Biology, Immunology, Biotechnology and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (12 papers), Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cancer Research and Treatments (6 papers), CAR-T cell therapy research (5 papers), Advanced Breast Cancer Therapies (4 papers), Cancer Cells and Metastasis (4 papers) and Chemokine receptors and signaling (4 papers). The work is most often cited by research in Oncology (962 citations), Immunology (589 citations), Biotechnology (112 citations), Cancer Research (162 citations) and Molecular Biology (713 citations). Anna E. Vilgelm has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Ann Richmond, Alexander Zaika, Amrendra Kumar, Douglas B. Johnson, Wael El‐Rifai, Sheau‐Chiann Chen, Jinming Yang, Mark C. Kelley, Gregory D. Ayers and Jinxiong Wei. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Oncogene, Cell Reports and Cancer Immunology 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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