Alexis D. Leal

1.3k citations
57 papers · 888 indexed · 1 hit paper · h-index 15

Alexis D. Leal

49 papers receiving 866 citations

Hit Papers

Lymph-node-targeted, mKRAS-specific amphiphile vaccine in...1242024202620254080120

Peers

Alexis D. Leal
Comparison fields: 5 of 82
  • Oncology 545
  • Pathology and Forensic Medicine 188
  • Cancer Research 127
  • Dermatology 60
  • Anesthesiology and Pain Medicine 36
Replace Keisuke Aiba with:
Keisuke Aiba Japan
Peter Kozuch United States
Leonard Kalman United States
Frank Peters Netherlands
H. Ulrich-Pur Austria
William Hyman United States
Atif Hussein United States
Harry Raftopoulos United States
J Chauvergne France
Sven Gogov Switzerland
Alexis D. Leal relative to Keisuke Aiba Japan Keisuke Aiba's profile →
Citations per field
00.5×6.6×
Keisuke Aiba · 1×
Citations per year

Countries citing papers authored by Alexis D. Leal

Since Specialization
Citations

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

Fields of papers citing papers by Alexis D. Leal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexis D. Leal. 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 Alexis D. Leal. The network helps show where Alexis D. Leal may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20240
3 20244
4
Lymph-node-targeted, mKRAS-specific amphiphile vaccine in pancreatic and colorectal cancer: the phase 1 AMPLIFY-201 trialbreakdown →
2024124
5 20240
6 20243
7 202312
8 20238
9 20229
10 202221
11 202118
12 202034
13 20202
14 201814
15 201463
16 201426
17 201312
18 20133
19 20109
20 201024

About Alexis D. Leal

Alexis D. Leal is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 57 papers that have together received 888 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (21 papers), Cancer Immunotherapy and Biomarkers (13 papers), Genetic factors in colorectal cancer (12 papers), Cancer Genomics and Diagnostics (9 papers), Pancreatic and Hepatic Oncology Research (8 papers), Nausea and vomiting management (5 papers), Chemotherapy-related skin toxicity (5 papers) and Colorectal Cancer Surgical Treatments (3 papers). The work is most often cited by research in Oncology (545 citations), Pathology and Forensic Medicine (188 citations) and Cancer Research (127 citations). Alexis D. Leal has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Pashtoon Murtaza Kasi, Charles L. Loprinzi, Joleen M. Hubbard, Humaid O. Al‐Shamsi, Siraj M. Ali, Alexa B. Schrock, James Sun, Scott Kopetz, Jesse S. Voss and Jeffrey S. Ross. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and Blood.

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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