I Lauder

6.9k citations
171 papers · 5.4k · h-index 40

Impact in

Papers in

I Lauder

166 papers receiving 5.1k citations

Peers

I Lauder
Comparison fields: 5 of 190
  • Hepatology 500
  • Endocrine and Autonomic Systems 227
  • Pathology and Forensic Medicine 583
  • Physiology 717
  • Applied Microbiology and Biotechnology 54
Replace Osamu Yoshida with:
Osamu Yoshida Japan
Peter R. Carroll United States
John D. Mathews Australia
Shaf Keshavjee Canada
Cheng‐Chieh Lin Taiwan
Karen Byth Australia
John F. Murray United States
Peter T. Scardino United States
Patrick C. Walsh United States
Motomi Mori United States
I Lauder relative to Osamu Yoshida Japan Osamu Yoshida's profile →
Citations per field
00.5×6.8×
Osamu Yoshida · 1×
Citations per year

Countries citing papers authored by I Lauder

Since Specialization
Citations

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

Fields of papers citing papers by I Lauder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000348
2 2001330
3 2004223
4 2004202
5 1992202
6 1993173
7 1988152
8 2000142
9
Population based norming of the Chinese (HK) version of the SF-36 health survey
1999126
10 1992106
11 1974103
12 198996
13 199396
14 197294
15 198686
16 197785
17 200679
18 199570
19 199068
20 200268

About I Lauder

I Lauder is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 171 papers that have together received 5.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (20 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Viral-associated cancers and disorders (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), Hepatitis B Virus Studies (7 papers), Glycosylation and Glycoproteins Research (6 papers), Chromosomal and Genetic Variations (6 papers) and Hepatitis C virus research (6 papers). The work is most often cited by research in Hepatology (500 citations), Endocrine and Autonomic Systems (227 citations), Pathology and Forensic Medicine (583 citations), Physiology (717 citations) and Applied Microbiology and Biotechnology (54 citations). I Lauder has collaborated with scholars based in United Kingdom, Hong Kong and China. Frequent co-authors include James H. Pringle, Cyrus R. Kumana, Msm Ip, Ching‐Lung Lai, Bing Lam, W. Aherne, Cindy Lo Kuen Lam, Bernard M.Y. Cheung, Anthony Warford and Clara Ooi. Their work appears in journals such as The Journal of Pathology, Australian Journal of Chemistry, Journal of Clinical Pathology, Histopathology and Journal of Asthma.

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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