Ian A. Hope

5.5k citations
57 papers · 4.4k indexed · 1 hit paper · h-index 28
Topics
Genetics, Aging, and Longevity in Model Organisms (38 papers)CRISPR and Genetic Engineering (16 papers)Malaria Research and Control (6 papers)

In The Last Decade

Ian A. Hope

57 papers receiving 4.2k citations

Hit Papers

Functional dissection of a eukaryotic transcriptional act...19862026199920121986250500750

Peers

Ian A. Hope
Comparison fields: 5 of 119
  • Molecular Biology 3.2k
  • Aging 993
  • Genetics 700
  • Public Health, Environmental and Occupational Health 469
  • Plant Science 444
Replace Asako Sugimoto with:
Asako Sugimoto Japan
Erich M. Schwarz United States
James J. Moresco United States
Jean Vandenhaute Belgium
Igor Antoshechkin United States
Jérôme Reboul France
Alejandro Chavez United States
Carlos B. Hirschberg United States
Yi Liu China
Susumu Hirose Japan
Ian A. Hope relative to Asako Sugimoto Japan Asako Sugimoto's profile →
Citations per field
00.5×1.7×
Asako Sugimoto · 1×
Citations per year

Countries citing papers authored by Ian A. Hope

Since Specialization
Citations

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

Fields of papers citing papers by Ian A. Hope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian A. Hope

This figure shows the co-authorship network connecting the top 25 collaborators of Ian A. Hope. A scholar is included among the top collaborators of Ian A. Hope 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 A. Hope. Ian A. Hope 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 4
2 9
3 118
4 6
5 42
6 18
7 105
8 15
9 25
10 106
11 189
12 37
13 137
14 37
15 75
16 68
17 14
18 45
19 16
20 284

About Ian A. Hope

Ian A. Hope is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology, having authored 57 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (38 papers), CRISPR and Genetic Engineering (16 papers) and Malaria Research and Control (6 papers). The work is most often cited by research in Aging (993 citations), Molecular Biology (3.2k citations) and Endocrine and Autonomic Systems (247 citations). Ian A. Hope has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Kevin Struhl, David E. Hill, S. Mahadevan, Jennifer P. Macke, Albertha J.M. Walhout, John Reece-Hoyes, John G. Scaife, John E. Hyde, Christian A Grove and Colin T. Dolphin. Their work appears in journals such as Nature, Science and Cell.

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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