Ian Leck

4.0k citations
74 papers · 3.2k · 1 hit paper · h-index 29

Impact in

Papers in

Ian Leck

70 papers receiving 2.8k citations

Ian Leck's Hit Papers

Methods in observational epidemiology 1987 · 1.0k citations
1.0k0+13+26Years since publication2505007501000

Peers

Ian Leck
Comparison fields: 5 of 158
  • Pediatrics, Perinatology and Child Health 469
  • Health 185
  • Cancer Research 201
  • Surgery 576
  • Rheumatology 184
Replace Fred Rosner with:
Fred Rosner United States
Harland Austin United States
D C Skegg New Zealand
S J Pocock United Kingdom
Robert C. Strunk United States
James E. Norman United States
Joseph Feldman United States
Lee Youkeles United States
Leon Gordis United States
T. Gregory Hislop Canada
Ian Leck relative to Fred Rosner United States Fred Rosner's profile →
Citations per field
00.5×1.5×2.0×
Fred Rosner · 1×
Citations per year

Countries citing papers authored by Ian Leck

Since Specialization
Citations

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

Fields of papers citing papers by Ian Leck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Methods in observational epidemiology
Hit paper breakdown →
19871007
2 1990259
3 1984125
4 1974121
5 1968119
6 196286
7
Radical versus modified radical mastectomy for breast cancer.
198180
8 197272
9 196669
10 196361
11 197461
12 197660
13 197855
14 198452
15 196650
16 198448
17 198644
18 199543
19 196640
20 198238

About Ian Leck

Ian Leck is a scholar working on Surgery, Pediatrics, Perinatology and Child Health, General Health Professions, Oncology and Infectious Diseases, having authored 74 papers that have together received 3.2k indexed citations. Recurring topics across this work include Congenital Anomalies and Fetal Surgery (6 papers), Hip disorders and treatments (4 papers), Prenatal Screening and Diagnostics (4 papers), Global Cancer Incidence and Screening (4 papers), Parvovirus B19 Infection Studies (3 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Breast Cancer Treatment Studies (2 papers) and Ethics in medical practice (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (469 citations), Health (185 citations), Cancer Research (201 citations), Surgery (576 citations) and Rheumatology (184 citations). Ian Leck has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include R. G. Record, James Edwards, Alan S. Morrison, Koji Obata, Kunio Aoki, Yoshiyuki Ohno, Thomas McKeown, J. K. Steward, R. W. Smithells and Robert J. Lancashire. Their work appears in journals such as Journal of Epidemiology & Community Health, The Lancet, British Journal of Cancer, British Medical Bulletin and British Journal of Haematology.

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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