Mario Henriquez

1.1k total citations
18 papers, 781 citations indexed

About

Mario Henriquez is a scholar working on Nephrology, Oncology and Immunology. According to data from OpenAlex, Mario Henriquez has authored 18 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nephrology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Mario Henriquez's work include Glioma Diagnosis and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and CAR-T cell therapy research (3 papers). Mario Henriquez is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and CAR-T cell therapy research (3 papers). Mario Henriquez collaborates with scholars based in United States, Canada and Germany. Mario Henriquez's co-authors include Mahua Dey, Anna C. Filley, Kaleigh Fetcko, Wei Huff, Barry R. Davis, Mahboob Rahman, Joshua I. Barzilay, Pedro Colon, Jackson T. Wright and Charles E. Ford and has published in prestigious journals such as JAMA, International Journal of Molecular Sciences and Hypertension.

In The Last Decade

Mario Henriquez

17 papers receiving 768 citations

Peers

Mario Henriquez
Comparison fields: 5 of 89
  • Oncology 300
  • Immunology 265
  • Genetics 219
  • Pulmonary and Respiratory Medicine 121
  • Molecular Biology 113
Replace Hideko Nakahara with:
Hideko Nakahara Japan
Zane Kaplan Australia
Kimio Terao Japan
Derik Hermsen Germany
Klara Dalva Türkiye
Adam Corken United States
Matthew Fletcher United Kingdom
Akinori Maeda Japan
Xiaoli Zhao China
Ronald Rosenburg Germany
Hideko Nakahara Japan View profile →
Citations per field, relative to Mario Henriquez
Mario Henriquez · 1×
Citations per year, relative to Mario Henriquez
Mario Henriquez · 1×

Countries citing papers authored by Mario Henriquez

Since Specialization
Citations

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

Fields of papers citing papers by Mario Henriquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Henriquez

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Henriquez. A scholar is included among the top collaborators of Mario Henriquez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Henriquez. Mario Henriquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 10
2 11
3
The Evolving Role of CD8+CD28- Immunosenescent T Cells in Cancer Immunology
2
4 0
5 11
6 148
7 75
8 22
9 281
10 5
11 15
12 54
13 72
14 46
15 1
16
Body composition and lipid abnormalities in hispanic and black patients on continuous ambulatory peritoneal dialysis.
1
17 17
18 10

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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