Jacob C. Easaw

4.2k total citations
87 papers, 2.2k citations indexed

About

Jacob C. Easaw is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jacob C. Easaw has authored 87 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 28 papers in Pulmonary and Respiratory Medicine and 28 papers in Oncology. Recurrent topics in Jacob C. Easaw's work include Glioma Diagnosis and Treatment (30 papers), Brain Metastases and Treatment (12 papers) and Cancer survivorship and care (9 papers). Jacob C. Easaw is often cited by papers focused on Glioma Diagnosis and Treatment (30 papers), Brain Metastases and Treatment (12 papers) and Cancer survivorship and care (9 papers). Jacob C. Easaw collaborates with scholars based in Canada, United States and United Kingdom. Jacob C. Easaw's co-authors include Peter Forsyth, Warren Mason, Brian Thiessen, David D. Eisenstat, Karl Bélanger, Jack H. Jhamandas, Petr Kavan, James Perry, Glòria Roldán and Dorcas Fulton and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neurophysiology and Clinical Cancer Research.

In The Last Decade

Jacob C. Easaw

83 papers receiving 2.2k citations

Peers

Jacob C. Easaw
Comparison fields: 5 of 125
  • Genetics 950
  • Pulmonary and Respiratory Medicine 623
  • Molecular Biology 598
  • Oncology 437
  • Epidemiology 328
Replace Frances McSherry with:
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Christopher D. Turner United States
April Coan United States
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M. Fatih Okcu United States
Michael Karsy United States
Antonio Silvani Italy
Pascal Chastagner France
Mark G. Malkin United States
Frances McSherry United States View profile →
Citations per field, relative to Jacob C. Easaw
Jacob C. Easaw · 1×
Citations per year, relative to Jacob C. Easaw
Jacob C. Easaw · 1×

Countries citing papers authored by Jacob C. Easaw

Since Specialization
Citations

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

Fields of papers citing papers by Jacob C. Easaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob C. Easaw

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 3
4 2
5 0
6 5
7 7
8 13
9 169
10 22
11 38
12 20
13 3
14 81
15 3
16 264
17 1
18 10
19 20
20 11

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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