I.T. Oliver

2.6k citations
55 papers · 2.2k indexed · 1 hit paper · h-index 22

I.T. Oliver

55 papers receiving 1.9k citations

Hit Papers

A spectrophotometric method for the determination of crea...6261955202619782002200400600

Peers

I.T. Oliver
Comparison fields: 5 of 102
  • Clinical Biochemistry 445
  • Biochemistry 221
  • Cell Biology 338
  • Endocrinology, Diabetes and Metabolism 331
  • Physiology 439
Replace James Ashmore with:
James Ashmore United States
G. Béréziat France
P D Berk United States
Joyce E. Becker United States
J.C. Robinson United States
Rajender K. Chawla United States
Mary Taub United States
F. Umeda Japan
Francesc González‐Sastre Spain
Harold F. Sims United States
I.T. Oliver relative to James Ashmore United States James Ashmore's profile →
Citations per field
00.5×1.5×
James Ashmore · 1×
Citations per year

Countries citing papers authored by I.T. Oliver

Since Specialization
Citations

This map shows the geographic impact of I.T. Oliver'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 I.T. Oliver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I.T. Oliver more than expected).

Fields of papers citing papers by I.T. Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.T. Oliver. 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 I.T. Oliver. The network helps show where I.T. Oliver may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199634
2 19885
3 19869
4 197925
5 197965
6 19773
7 19726
8 197121
9 197116
10 19715
11 197011
12 197012
13 196916
14 19686
15 196768
16 19655
17 196415
18 19622
19 19626
20 19614

About I.T. Oliver

I.T. Oliver is a scholar working on Clinical Biochemistry, Physiology, Biochemistry, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (10 papers), Mitochondrial Function and Pathology (6 papers), Aldose Reductase and Taurine (5 papers), Diet, Metabolism, and Disease (5 papers), Pancreatic function and diabetes (5 papers), Biochemical and Molecular Research (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Clinical Biochemistry (445 citations), Biochemistry (221 citations), Cell Biology (338 citations), Endocrinology, Diabetes and Metabolism (331 citations) and Physiology (439 citations). I.T. Oliver has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include D. Yeung, Patrick G. Holt, F J Ballard, George C. Yeoh, Max H. Cake, F. A. Bennett, Gregory R. Donovan, John A. W. Kirsch, William Sinclair and J. L. Peel. Their work appears in journals such as FEBS Letters, Biochemistry, Biochemical Journal, Neonatology and Nature.

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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