Michael J. Grant

64 total papers · 509 total citations
15 papers, 278 citations indexed

About

Michael J. Grant is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Michael J. Grant has authored 15 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 7 papers in Oncology and 6 papers in Surgery. Recurrent topics in Michael J. Grant's work include Lung Cancer Treatments and Mutations (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Polyomavirus and related diseases (2 papers). Michael J. Grant is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Polyomavirus and related diseases (2 papers). Michael J. Grant collaborates with scholars based in United States, Italy and United Kingdom. Michael J. Grant's co-authors include Sarah B. Goldberg, Roy S. Herbst, Nicholas C. DeVito, April K.S. Salama, Scott D. Lifchez, Arthur J. Nam, Colton H. McNichols, Yvonne M. Rasko, Katerina Politi and Zenta Walther and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Michael J. Grant

11 papers receiving 276 citations

Hit Papers

Selecting the optimal imm... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Michael J. Grant 175 131 46 38 38 15 278
Nikolas Schopow 65 0.4× 59 0.5× 86 1.9× 17 0.4× 46 1.2× 22 253
Daniel D. Kirchoff 216 1.2× 99 0.8× 82 1.8× 71 1.9× 36 0.9× 22 302
Feng Liu 156 0.9× 64 0.5× 48 1.0× 63 1.7× 22 0.6× 18 269
Delia De Lisi 101 0.6× 126 1.0× 68 1.5× 48 1.3× 54 1.4× 18 260
Chiyuan Amy Zhang 73 0.4× 105 0.8× 68 1.5× 70 1.8× 34 0.9× 18 301
Shalmali Bane 171 1.0× 87 0.7× 56 1.2× 35 0.9× 73 1.9× 17 305
Valeria Stati 182 1.0× 98 0.7× 60 1.3× 42 1.1× 27 0.7× 25 316
Changliang Yang 241 1.4× 120 0.9× 47 1.0× 40 1.1× 54 1.4× 15 317
Samer Tabchi 211 1.2× 137 1.0× 65 1.4× 21 0.6× 33 0.9× 24 321
Lawrence Kashat 168 1.0× 27 0.2× 63 1.4× 62 1.6× 29 0.8× 16 307

Countries citing papers authored by Michael J. Grant

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Grant. 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 Michael J. Grant. The network helps show where Michael J. Grant may publish in the future.

Co-authorship network of co-authors of Michael J. Grant

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Grant. A scholar is included among the top collaborators of Michael J. Grant 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 Michael J. Grant. Michael J. Grant 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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