Chris I. Flowers

1.5k total citations
23 papers, 1.1k citations indexed

About

Chris I. Flowers is a scholar working on Oncology, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chris I. Flowers has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 8 papers in Artificial Intelligence and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chris I. Flowers's work include Global Cancer Incidence and Screening (10 papers), AI in cancer detection (8 papers) and Colorectal Cancer Screening and Detection (6 papers). Chris I. Flowers is often cited by papers focused on Global Cancer Incidence and Screening (10 papers), AI in cancer detection (8 papers) and Colorectal Cancer Screening and Detection (6 papers). Chris I. Flowers collaborates with scholars based in United States, Netherlands and Switzerland. Chris I. Flowers's co-authors include Karla Kerlikowske, Diana L. Miglioretti, Bonnie C. Yankaskas, Rebecca A. Hubbard, Weiwei Zhu, Jennifer S. Drukteinis, Robert A. Gatenby, Blaise Mooney, Dan H. Moore and Laura J. Esserman and has published in prestigious journals such as Annals of Internal Medicine, Cancer Research and Radiology.

In The Last Decade

Chris I. Flowers

22 papers receiving 1.0k citations

Peers

Chris I. Flowers
Comparison fields: 5 of 86
  • Oncology 412
  • Cancer Research 349
  • Pulmonary and Respiratory Medicine 322
  • Radiology, Nuclear Medicine and Imaging 247
  • Artificial Intelligence 218
Replace Olorunsola F. Agbaje with:
Olorunsola F. Agbaje United Kingdom
Manohar Pradhan Norway
Isabel Amendoeira Portugal
Alana A. Lewin United States
Nicholas Perry United Kingdom
Rita I. Freimanis United States
Rosalind Given-Wilson United Kingdom
Helena Fohlin Sweden
Douglas Zippel Israel
Miri Sklair‐Levy Israel
Olorunsola F. Agbaje United Kingdom View profile →
Citations per field, relative to Chris I. Flowers
Chris I. Flowers · 1×
Citations per year, relative to Chris I. Flowers
Chris I. Flowers · 1×

Countries citing papers authored by Chris I. Flowers

Since Specialization
Citations

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

Fields of papers citing papers by Chris I. Flowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris I. Flowers. 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 Chris I. Flowers. The network helps show where Chris I. Flowers may publish in the future.

Co-authorship network of co-authors of Chris I. Flowers

This figure shows the co-authorship network connecting the top 25 collaborators of Chris I. Flowers. A scholar is included among the top collaborators of Chris I. Flowers 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 Chris I. Flowers. Chris I. Flowers 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 6
2 9
3 5
4 44
5 11
6 31
7 156
8 14
9 43
10 11
11 10
12 5
13 2
14 21
15 302
16 88
17 179
18 53
19
Clinician Inter-rater Reliability Using a Medical Wound Imaging System
11
20 42

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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