Ian Abramson

65 papers receiving 4.2k citations

Ian Abramson's Hit Papers

The HNRC 500-Neuropsychology of Hiv infection at different disease stages 1995 · 542 citations
5420+10+20Years since publication100200300400500

Peers

Ian Abramson
Comparison fields: 5 of 187
  • Virology 1.0k
  • Emergency Medicine 362
  • Biological Psychiatry 89
  • Infectious Diseases 619
  • Statistics and Probability 261
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Countries citing papers authored by Ian Abramson

Since Specialization
Citations

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

Fields of papers citing papers by Ian Abramson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The HNRC 500-Neuropsychology of Hiv infection at different disease stages
Hit paper breakdown →
1995542
2 1982428
3 1997246
4 1989202
5 1987178
6 2007178
7 2012172
8 2000162
9 1997161
10 2011138
11 1998132
12 1999131
13 1990121
14 2004116
15
Quality of life in a placebo-controlled trial of zidovudine in patients with AIDS and AIDS-related complex.
1990110
16 1987100
17 200779
18 200077
19 198975
20 198375

About Ian Abramson

Ian Abramson is a scholar working on Virology, Statistics and Probability, Surgery, Oncology and Infectious Diseases, having authored 65 papers that have together received 4.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Statistical Methods and Inference (8 papers), Advanced Statistical Methods and Models (7 papers), Musculoskeletal pain and rehabilitation (4 papers), Bayesian Methods and Mixture Models (4 papers), Intraperitoneal and Appendiceal Malignancies (4 papers), HIV-related health complications and treatments (4 papers) and Dementia and Cognitive Impairment Research (4 papers). The work is most often cited by research in Virology (1.0k citations), Emergency Medicine (362 citations), Biological Psychiatry (89 citations), Infectious Diseases (619 citations) and Statistics and Probability (261 citations). Ian Abramson has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Igor Grant, Ronald J. Ellis, Tanya Wolfson, J. Hampton Atkinson, Stephen A. Spector, Thomas L. Patterson, J. Allen McCutchan, James W. Evans, Stephen B. Howell and Mark R. Wallace. Their work appears in journals such as Journal of the International Neuropsychological Society, Journal of Clinical Oncology, Pain, Statistics in Medicine and Journal of Affective Disorders.

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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