Hannah Johns

22 papers receiving 182 citations

Peers

Hannah Johns
Comparison fields: 5 of 65
  • Rehabilitation 36
  • Epidemiology 44
  • Internal Medicine 4
  • Occupational Therapy 4
  • Health Information Management 4
Replace Shweta Jain Verma with:
Shweta Jain Verma India
Mark Longworth Australia
Olaleye Adeniji Nigeria
Katherine E. Walesby United Kingdom
Roxanne Maritz Switzerland
Matthew Smith United States
Denise Forshaw United Kingdom
Joosup Kim Australia
Lisa Lim United Kingdom
Lachlan L. Dalli Australia
Hannah Johns relative to Shweta Jain Verma India Shweta Jain Verma's profile →
Citations per field
00.5×3.4×
Shweta Jain Verma · 1×
Citations per year

Countries citing papers authored by Hannah Johns

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Johns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hannah Johns, 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 Hannah Johns Line = papers co-authored together Hannah Johns links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202234
2 202121
3 202016
4 202114
5 202214
6 201913
7 202012
8 202410
9 20198
10 20207
11 20216
12 20235
13 20234
14 20224
15 20233
16 20233
17 20242
18 20242
19 20232
20 20252

About Hannah Johns

Hannah Johns is a scholar working on Epidemiology, Rehabilitation, Pulmonary and Respiratory Medicine, Artificial Intelligence and Economics and Econometrics, having authored 25 papers that have together received 184 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (6 papers), Stroke Rehabilitation and Recovery (4 papers), Statistical Methods in Clinical Trials (2 papers), Meta-analysis and systematic reviews (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Imbalanced Data Classification Techniques (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Rehabilitation (36 citations), Epidemiology (44 citations), Internal Medicine (4 citations), Occupational Therapy (4 citations) and Health Information Management (4 citations). Hannah Johns has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Leonid Churilov, Julie Bernhardt, Myra Glajchen, Russell K. Portenoy, Karen Borschmann, Kathryn S. Hayward, Emma L. Burrows, Helen M. Dewey, Sharon Kramer and Marj Moodie. Their work appears in journals such as Neurology, International Journal of Stroke, Statistical Methods in Medical Research, Stroke and BMJ Open.

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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