Paula G. O’Connor

1.0k citations
21 papers · 821 indexed · h-index 13
Topics
Lung Cancer Treatments and Mutations (8 papers)Viral-associated cancers and disorders (5 papers)Hemoglobinopathies and Related Disorders (5 papers)

In The Last Decade

Paula G. O’Connor

20 papers receiving 798 citations

Peers

Paula G. O’Connor
Comparison fields: 5 of 60
  • Oncology 576
  • Pulmonary and Respiratory Medicine 419
  • Molecular Biology 178
  • Pathology and Forensic Medicine 140
  • Epidemiology 114
Replace J. Feng with:
J. Feng China
Ila Tamaskar United States
Monika Serke Germany
Serafina Mammoliti Italy
Vanessa Bolejack United States
N. J. Vogelzang United States
H.‐G. Mergenthaler Germany
Matteo Brighenti Italy
Thomas J. Semrad United States
N J Meropol United States
Paula G. O’Connor relative to J. Feng China J. Feng's profile →
Citations per field
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J. Feng · 1×
Citations per year

Countries citing papers authored by Paula G. O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Paula G. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula G. O’Connor. 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 Paula G. O’Connor. The network helps show where Paula G. O’Connor may publish in the future.

Co-authorship network of co-authors of Paula G. O’Connor

This figure shows the co-authorship network connecting the top 25 collaborators of Paula G. O’Connor. A scholar is included among the top collaborators of Paula G. O’Connor 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 Paula G. O’Connor. Paula G. O’Connor 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 3
2 7
3 0
4 12
5 4
6 316
7 90
8
Abstract #LB-131: Biomarker evaluation in the Phase III, placebo (P)-controlled, randomized BeTa trial of bevacizumab (B) and erlotinib (E) for patients (pts) with advanced non-small cell lung cancer (NSCLC) after failure of standard 1st-line chemotherapy: correlation with treatment outcomes
1
9 54
10 17
11 6
12 17
13 30
14 1
15 5
16 65
17 21
18 39
19 70
20 45

About Paula G. O’Connor

Paula G. O’Connor is a scholar working on Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 821 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Viral-associated cancers and disorders (5 papers) and Hemoglobinopathies and Related Disorders (5 papers). The work is most often cited by research in Oncology (576 citations), Pulmonary and Respiratory Medicine (419 citations) and Pathology and Forensic Medicine (140 citations). Paula G. O’Connor has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Roy S. Herbst, C. Soh, Fairooz F. Kabbinavar, Rafat Ansari, John D. Hainsworth, Gregory A. Otterson, Chang-Heok Soh, Gordana Vlahovic, Lowell L. Hart and F. Bustin. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and Blood.

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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