Ian D. Connolly

3.1k citations
48 papers · 1.9k indexed · 2 hit papers · h-index 22
Topics
Cancer Genomics and Diagnostics (9 papers)Glioma Diagnosis and Treatment (7 papers)Spine and Intervertebral Disc Pathology (6 papers)
Partner nations
United StatesChinaSweden

In The Last Decade

Ian D. Connolly

47 papers receiving 1.8k citations

Hit Papers

Single-Cell RNA-Seq Analysis of Infiltrating Neoplastic C...201720262020202320172023200400600

Peers

Ian D. Connolly
Comparison fields: 5 of 140
  • Molecular Biology 501
  • Genetics 416
  • Health Informatics 369
  • Cancer Research 310
  • Radiology, Nuclear Medicine and Imaging 248
Replace Nicole Eter with:
Nicole Eter Germany
María Martínez-Lage United States
Taku Wakabayashi Japan
Karen J. Chandross United States
Kartik Kesavabhotla United States
Sébastien Perreault Canada
Xiaoyin “Sara” Jiang United States
Rimas V. Lukas United States
Mariam Aboian United States
Mark ter Laan Netherlands
Ian D. Connolly relative to Nicole Eter Germany Nicole Eter's profile →
Citations per field
00.5×6.0×
Nicole Eter · 1×
Citations per year

Countries citing papers authored by Ian D. Connolly

Since Specialization
Citations

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

Fields of papers citing papers by Ian D. Connolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian D. Connolly. 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 Ian D. Connolly. The network helps show where Ian D. Connolly may publish in the future.

Co-authorship network of co-authors of Ian D. Connolly

This figure shows the co-authorship network connecting the top 25 collaborators of Ian D. Connolly. A scholar is included among the top collaborators of Ian D. Connolly 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 Ian D. Connolly. Ian D. Connolly 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 1
2 2
3 2
4 0
5 3
6 1
7
Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bankbreakdown →
215
8 131
9 4
10 19
11 23
12 2
13 22
14 104
15 22
16 6
17 12
18 6
19 1
20 43

About Ian D. Connolly

Ian D. Connolly is a scholar working on Health Informatics, Cancer Research and Genetics, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Glioma Diagnosis and Treatment (7 papers) and Spine and Intervertebral Disc Pathology (6 papers). The work is most often cited by research in Health Informatics (369 citations), Genetics (416 citations) and Family Practice (54 citations). Ian D. Connolly has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Melanie Hayden Gephart, Yingmei Li, Rohaid Ali, Gordon Li, Stephen R. Quake, Oliver Y. Tang, Curtis E. Doberstein, Wael F. Asaad, Sophia B. Chernikova and Derek Croote. Their work appears in journals such as Nucleic Acids Research, Journal of Controlled Release and Journal of Neurology Neurosurgery & Psychiatry.

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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