Ian R. Adams

5.2k citations
55 papers · 3.7k indexed · 2 hit papers · h-index 29

Ian R. Adams

54 papers receiving 3.6k citations

Hit Papers

The RNA-Editing Enzyme ADAR1 Controls Innate Immune Respo...4902013202620172021100200300400

Peers

Ian R. Adams
Comparison fields: 5 of 111
  • Molecular Biology 3.2k
  • Reproductive Medicine 290
  • Cell Biology 535
  • Genetics 809
  • Aging 45
Replace Kei‐ichiro Ishiguro with:
Kei‐ichiro Ishiguro Japan
P. Jeremy Wang United States
Masami Kanai‐Azuma Japan
John Cobb United States
Christian Schöfer Austria
Jaime A. Rivera‐Pérez United States
Shantha K. Mahadevaiah United Kingdom
Maria‐Elena Torres‐Padilla Germany
Ramiro Ramírez‐Solis United Kingdom
Sandrine Caburet France
Ian R. Adams relative to Kei‐ichiro Ishiguro Japan Kei‐ichiro Ishiguro's profile →
Citations per field
00.5×1.5×2.0×
Kei‐ichiro Ishiguro · 1×
Citations per year

Countries citing papers authored by Ian R. Adams

Since Specialization
Citations

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

Fields of papers citing papers by Ian R. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20224
3 202130
4 20207
5 201965
6 201962
7 201923
8 201720
9 201623
10 2015116
11 201517
12 201430
13 201422
14 201371
15 201251
16 2011101
17 201112
18 201027
19 200858
20 2002281

About Ian R. Adams

Ian R. Adams is a scholar working on Molecular Biology, Reproductive Medicine and General Dentistry, having authored 55 papers that have together received 3.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (18 papers), Chromosomal and Genetic Variations (13 papers), Epigenetics and DNA Methylation (11 papers), Genomics and Chromatin Dynamics (11 papers), DNA Repair Mechanisms (10 papers), Pluripotent Stem Cells Research (9 papers), Reproductive Biology and Fertility (7 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Reproductive Medicine (290 citations) and Cell Biology (535 citations). Ian R. Adams has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Anne McLaren, John V. Kilmartin, James H. Crichton, Judith Reichmann, Richard R. Meehan, Marie MacLennan, José L. García-Pérez, Christopher J. Playfoot, Simon J. Boulton and Martin Steger. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Communications.

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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