Gemma Conroy

429 citations
35 papers · 229 · 1 hit paper · h-index 7

Impact in

Papers in

Gemma Conroy

28 papers receiving 222 citations

Gemma Conroy's Hit Papers

How China created AI model DeepSeek and shocked the world 2025 · 40 citations
400Years since publication10203040

Peers

Gemma Conroy
Comparison fields: 5 of 105
  • Health Informatics 52
  • Safety Research 13
  • Epidemiology 37
  • Information Systems and Management 8
  • Infectious Diseases 17
Replace Eli M. Cahan with:
Eli M. Cahan United States
Marie‐Christine Roy Canada
Jonathan Herington United States
Jana Fehr Germany
Lester Darryl Geneviève Switzerland
Martin Černý Czechia
Conner Ganjavi United States
Julie Xu United States
Arianna Delicati Italy
Qasim Mehmood Pakistan
Gemma Conroy relative to Eli M. Cahan United States Eli M. Cahan's profile →
Citations per field
00.5×5.3×
Eli M. Cahan · 1×
Citations per year

Countries citing papers authored by Gemma Conroy

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Conroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Gemma Conroy, 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 Gemma Conroy Line = papers co-authored together Gemma Conroy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202366
2
How China created AI model DeepSeek and shocked the world
Hit paper breakdown →
202540
3 202329
4 202321
5 201913
6 20227
7 20246
8 20245
9 20225
10 20243
11 20243
12 20243
13 20233
14 20233
15 20242
16 20252
17 20232
18 20222
19 20232
20 20232

About Gemma Conroy

Gemma Conroy is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Political Science and International Relations, Physiology and Ecology, having authored 35 papers that have together received 229 indexed citations. Recurring topics across this work include International Science and Diplomacy (3 papers), Zoonotic diseases and public health (2 papers), Dark Matter and Cosmic Phenomena (2 papers), Virus-based gene therapy research (2 papers), Pluripotent Stem Cells Research (2 papers), Astrophysics and Cosmic Phenomena (2 papers), Mitochondrial Function and Pathology (2 papers) and Cryospheric studies and observations (2 papers). The work is most often cited by research in Health Informatics (52 citations), Safety Research (13 citations), Epidemiology (37 citations), Information Systems and Management (8 citations) and Infectious Diseases (17 citations). Gemma Conroy has collaborated with scholars based in Australia and Canada. Frequent co-authors include Smriti Mallapaty and Natasha Gilbert. Their work appears in journals such as Nature.

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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