Maximillian Rosario

1.9k citations
19 papers · 1.1k indexed · 1 hit paper · h-index 11
Topics
Immune Cell Function and Interaction (9 papers)HIV Research and Treatment (7 papers)CAR-T cell therapy research (6 papers)

In The Last Decade

Maximillian Rosario

17 papers receiving 1.1k citations

Hit Papers

Cytokine-induced memory-like natural killer cells exhibit...20162026201920222016200400600

Peers

Maximillian Rosario
Comparison fields: 5 of 62
  • Immunology 945
  • Oncology 541
  • Hematology 172
  • Molecular Biology 150
  • Virology 116
Replace Zachary Davis with:
Zachary Davis United States
Marie K. Brimnes Denmark
Dimitra Zotos Australia
Nobuyo Yawata Japan
Dara M. Strauss‐Albee United States
Ebba Sohlberg Sweden
Nicolas Anfossi France
Coralie Frassati France
J. Joseph Melenhorst United States
Manuel Llano Spain
Maximillian Rosario relative to Zachary Davis United States Zachary Davis's profile →
Citations per field
00.5×1.6×
Zachary Davis · 1×
Citations per year

Countries citing papers authored by Maximillian Rosario

Since Specialization
Citations

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

Fields of papers citing papers by Maximillian Rosario

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximillian Rosario

This figure shows the co-authorship network connecting the top 25 collaborators of Maximillian Rosario. A scholar is included among the top collaborators of Maximillian Rosario 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 Maximillian Rosario. Maximillian Rosario is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 1
3 216
4 43
5 0
6
Cytokine-induced memory-like natural killer cells exhibit enhanced responses against myeloid leukemiabreakdown →
660
7 5
8 5
9 10
10 5
11 8
12 0
13 14
14 46
15 33
16 26
17 20
18 12
19 11

About Maximillian Rosario

Maximillian Rosario is a scholar working on Virology, Immunology and Oncology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), HIV Research and Treatment (7 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Immunology (945 citations), Virology (116 citations) and Oncology (541 citations). Maximillian Rosario has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Jeffrey Leong, Todd A. Fehniger, Brea A. Jewell, Melissa M. Berrien-Elliott, Sara Abdel-Latif, Timothy Schappe, Rizwan Romee, Julia A. Wagner, Stephen T. Oh and Carly C. Neal. Their work appears in journals such as Journal of Clinical Investigation, Blood 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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