Jessica Gibbs

2.1k citations
37 papers · 1.5k indexed · h-index 16
Topics
MRI in cancer diagnosis (31 papers)Radiomics and Machine Learning in Medical Imaging (25 papers)Breast Cancer Treatment Studies (10 papers)

In The Last Decade

Jessica Gibbs

36 papers receiving 1.4k citations

Peers

Jessica Gibbs
Comparison fields: 5 of 77
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Cancer Research 454
  • Pathology and Forensic Medicine 319
  • Pulmonary and Respiratory Medicine 211
  • Oncology 186
Replace Habib Rahbar with:
Habib Rahbar United States
Nola Hylton United States
In-Ae Park South Korea
L Junquera Gutierrez Chile
H. Madjar Germany
Rubina Manuela Trimboli Italy
Panagiotis Kapetas Austria
Tibor Vág Germany
Eric L. Rosen United States
Mazen Sudah Finland
Jessica Gibbs relative to Habib Rahbar United States Habib Rahbar's profile →
Citations per field
00.5×1.5×
Habib Rahbar · 1×
Citations per year

Countries citing papers authored by Jessica Gibbs

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Gibbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Gibbs

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Gibbs. A scholar is included among the top collaborators of Jessica Gibbs 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 Jessica Gibbs. Jessica Gibbs 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
#WorkIndexed citations
1 0
2 1
3 2
4 14
5 10
6 7
7 5
8 1
9 33
10 7
11 8
12 1
13 27
14 187
15 17
16 19
17 45
18 36
19 50
20 92

About Jessica Gibbs

Jessica Gibbs is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (31 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Breast Cancer Treatment Studies (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Cancer Research (454 citations) and Pathology and Forensic Medicine (319 citations). Jessica Gibbs has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Nola M. Hylton, Laura J. Esserman, Savannah C. Partridge, Ying Lü, Lisa J. Wilmes, Catherine Klifa, Dulcy Wolverton, Bonnie N. Joe, E. Shelley Hwang and Debasish Tripathy. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Radiology.

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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