Isabella C. Glitza

316 total papers · 13.9k total citations
46 papers, 938 citations indexed

About

Isabella C. Glitza is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Isabella C. Glitza has authored 46 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 20 papers in Pulmonary and Respiratory Medicine and 13 papers in Molecular Biology. Recurrent topics in Isabella C. Glitza's work include Cancer Immunotherapy and Biomarkers (26 papers), Brain Metastases and Treatment (17 papers) and CAR-T cell therapy research (11 papers). Isabella C. Glitza is often cited by papers focused on Cancer Immunotherapy and Biomarkers (26 papers), Brain Metastases and Treatment (17 papers) and CAR-T cell therapy research (11 papers). Isabella C. Glitza collaborates with scholars based in United States, China and Australia. Isabella C. Glitza's co-authors include Sriram Yennu, David Hui, Gary B. Chisholm, Éduardo Bruera, Michael A. Davies, Hussein A. Tawbi, Rodabe N. Amaria, Adi Diab, Michael T. Tetzlaff and Nandita Guha‐Thakurta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Cancer Research.

In The Last Decade

Isabella C. Glitza

43 papers receiving 920 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Isabella C. Glitza 574 309 252 182 113 46 938
Jacob Colsky 450 0.8× 176 0.6× 235 0.9× 65 0.4× 104 0.9× 40 899
Jacques Camerlo 450 0.8× 163 0.5× 172 0.7× 105 0.6× 67 0.6× 50 934
Catherine Shannon 703 1.2× 283 0.9× 148 0.6× 107 0.6× 66 0.6× 48 1.2k
M. R. Moore 429 0.7× 286 0.9× 182 0.7× 119 0.7× 51 0.5× 41 1.1k
Peter Kozuch 556 1.0× 261 0.8× 258 1.0× 120 0.7× 40 0.4× 42 1.1k
Polly Niravath 453 0.8× 209 0.7× 193 0.8× 51 0.3× 76 0.7× 53 964
Felix Keil 298 0.5× 104 0.3× 212 0.8× 156 0.9× 225 2.0× 81 1.1k
Ami V. Desai 248 0.4× 227 0.7× 276 1.1× 92 0.5× 92 0.8× 52 999
Michelle Moghadassi 199 0.3× 158 0.5× 211 0.8× 178 1.0× 115 1.0× 31 996
Sacha Satram‐Hoang 535 0.9× 117 0.4× 261 1.0× 152 0.8× 45 0.4× 48 1.0k

Countries citing papers authored by Isabella C. Glitza

Since Specialization
Citations

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

Fields of papers citing papers by Isabella C. Glitza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabella C. Glitza. 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 Isabella C. Glitza. The network helps show where Isabella C. Glitza may publish in the future.

Co-authorship network of co-authors of Isabella C. Glitza

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

All Works

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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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