Karen E. Conner

452 citations
14 papers · 369 · h-index 8

Impact in

Papers in

Karen E. Conner

12 papers receiving 355 citations

Peers

Karen E. Conner
Comparison fields: 5 of 42
  • Internal Medicine 75
  • Health Informatics 14
  • Radiology, Nuclear Medicine and Imaging 105
  • Pulmonary and Respiratory Medicine 109
  • Critical Care and Intensive Care Medicine 9
Replace Pedro Gutiérrez‐Fajardo with:
Pedro Gutiérrez‐Fajardo Mexico
Yannick Cartier Canada
Seungjun Ahn United States
Wouter de Monyé Netherlands
Naoko Kawata Japan
Germana Allescia Italy
M. Andreu Spain
Vladimír Dytrych Czechia
David J. Kastan United States
Shilpa N. Reddy United States
Karen E. Conner relative to Pedro Gutiérrez‐Fajardo Mexico Pedro Gutiérrez‐Fajardo's profile →
Citations per field
00.5×5×10×14.3×
Pedro Gutiérrez‐Fajardo · 1×
Citations per year

Countries citing papers authored by Karen E. Conner

Since Specialization
Citations

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

Fields of papers citing papers by Karen E. Conner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen E. Conner. 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 Karen E. Conner. The network helps show where Karen E. Conner may publish in the future.

Co-authors

The 25 scholars most cited alongside Karen E. Conner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karen E. Conner Line = papers co-authored together Karen E. Conner links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2012110
2 2013104
3 201263
4 201629
5 200819
6 201410
7 201610
8 202110
9 20226
10 20234
11
The Abnormal Mammogram
20033
12 20191
13
Imaging-Guided Needle Biopsy of the Breast
20030
14 20080

About Karen E. Conner

Karen E. Conner is a scholar working on Pulmonary and Respiratory Medicine, Internal Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and General Psychology, having authored 14 papers that have together received 369 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (3 papers), Breast Lesions and Carcinomas (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Electronic Health Records Systems (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Memory Processes and Influences (1 paper) and Radiation Dose and Imaging (1 paper). The work is most often cited by research in Internal Medicine (75 citations), Health Informatics (14 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Pulmonary and Respiratory Medicine (109 citations) and Critical Care and Intensive Care Medicine (9 citations). Karen E. Conner has collaborated with scholars based in United States. Frequent co-authors include Scott M. Stevens, Scott C. Woller, C. Gregory Elliott, Denitza Blagev, James F. Lloyd, R. Scott Evans, Marta Elise Heilbrun, Asha Sarma, Joseph R. Bledsoe and Gregory L. Snow. Their work appears in journals such as Journal of the American College of Radiology, The Journal of Trauma: Injury, Infection, and Critical Care, CHEST Journal, Pulmonary Circulation and Journal of Thoracic Imaging.

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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