Emily Lerner

470 citations
22 papers · 251 · h-index 7

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Glioma Diagnosis and Treatment

Papers in

Emily Lerner

20 papers receiving 248 citations

Peers

Emily Lerner
Comparison fields: 5 of 49
  • Immunology 94
  • Genetics 34
  • Oncology 73
  • Hepatology 11
  • Neurology 20
Replace Huan Ting Ong with:
Huan Ting Ong Australia
Isaias Hernández-Verdín France
Malcolm Lim Australia
Antonella Tuscano Italy
Antonio Camera Italy
Chujun Zhao China
Stefania Girlanda Italy
Leon P. Pradel Germany
Martha Lopez‐Yrigoyen United Kingdom
Hong Ren China
Emily Lerner relative to Huan Ting Ong Australia Huan Ting Ong's profile →
Citations per field
00.5×4.9×
Huan Ting Ong · 1×
Citations per year

Countries citing papers authored by Emily Lerner

Since Specialization
Citations

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

Fields of papers citing papers by Emily Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202372
2 202459
3 202247
4 202017
5 202113
6 202412
7 20236
8 20225
9 20235
10 20233
11 20212
12 20242
13 20221
14 20251
15 20231
16 20251
17 20211
18 20221
19 20221
20 20241

About Emily Lerner

Emily Lerner is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Immunology, Oncology and Epidemiology, having authored 22 papers that have together received 251 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (8 papers), Glioma Diagnosis and Treatment (6 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (94 citations), Genetics (34 citations), Oncology (73 citations), Hepatology (11 citations) and Neurology (20 citations). Emily Lerner has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Peter E. Fecci, Daniel Wilkinson, Jessica Waibl Polania, Selena Lorrey, Lucas P. Wachsmuth, Karolina Woroniecka, William H. Tomaszewski, Katayoun Ayasoufi, John B. Finlay and Joshua Jackson. Their work appears in journals such as Neuro-Oncology Advances, Neurosurgical Review, Neuro-Oncology, Advances in Radiation Oncology and Clinical Cancer 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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