R.J. Olds

1.1k citations
24 papers · 851 · h-index 15

Impact in

  • Hematology top 1%
    • Blood Coagulation and Thrombosis Mechanisms
    • Hemophilia Treatment and Research
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Blood Coagulation and Thrombosis Mechanisms 17
    • Platelet Disorders and Treatments 2
    • Cancer-related gene regulation 3
    • Chemical Synthesis and Analysis 2
    • Biochemical and Structural Characterization 2
    • RNA and protein synthesis mechanisms 2

R.J. Olds

24 papers receiving 839 citations

Peers

R.J. Olds
Comparison fields: 5 of 56
  • Hematology 685
  • Internal Medicine 221
  • Genetics 160
  • Cancer Research 190
  • Cardiology and Cardiovascular Medicine 130
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Nina Lasky United States
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Citations per field
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Citations per year

Countries citing papers authored by R.J. Olds

Since Specialization
Citations

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

Fields of papers citing papers by R.J. Olds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997193
2 199391
3 199275
4 199653
5 199247
6 199644
7 199342
8 199139
9 199439
10 199133
11 199133
12 199128
13 198917
14
Antithrombin III: summary of first database update.
199416
15 199115
16 199914
17 199013
18 199512
19 198710
20 19939

About R.J. Olds

R.J. Olds is a scholar working on Hematology, Molecular Biology, Surgery, Cancer Research and Genetics, having authored 24 papers that have together received 851 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (17 papers), Protease and Inhibitor Mechanisms (4 papers), Cancer-related gene regulation (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Chemical Synthesis and Analysis (2 papers), Biochemical and Structural Characterization (2 papers), RNA and protein synthesis mechanisms (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Hematology (685 citations), Internal Medicine (221 citations), Genetics (160 citations), Cancer Research (190 citations) and Cardiology and Cardiovascular Medicine (130 citations). R.J. Olds has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include David A. Lane, Swee Lay Thein, SL Thein, D.N. Cooper, M Boisclair, David J. Perry, H. Ireland, Vijoy Chowdhury, Trevor A. Bayston and Alison Fitches. Their work appears in journals such as British Journal of Haematology, Thrombosis and Haemostasis, Nucleic Acids Research, Thrombosis Research and Blood Reviews.

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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