Lu Ban

36 papers receiving 960 citations

Peers

Lu Ban
Comparison fields: 5 of 84
  • Public Health, Environmental and Occupational Health 417
  • Gastroenterology 52
  • Obstetrics and Gynecology 62
  • Hepatology 51
  • Pediatrics, Perinatology and Child Health 117
Replace Laura Sarno with:
Laura Sarno Italy
Sue Seen Tsing Lo Hong Kong
Marja‐Terttu Saha Finland
Tibor Nyári Hungary
Linda Fiaschi United Kingdom
Ann L. Clark United States
Margaret Sheridan‐Pereira Ireland
Darshan P. Patel United States
Anna But Finland
Corinna Weber‐Schoendorfer Germany
Lu Ban relative to Laura Sarno Italy Laura Sarno's profile →
Citations per field
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Laura Sarno · 1×
Citations per year

Countries citing papers authored by Lu Ban

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201587
2 201478
3 201373
4 201268
5 201763
6 201463
7 201256
8 201054
9 202048
10 201646
11 201537
12 201637
13 201936
14 201429
15 202027
16 202225
17 201925
18 202218
19 201818
20 201717

About Lu Ban

Lu Ban is a scholar working on Public Health, Environmental and Occupational Health, Surgery, Hematology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 41 papers that have together received 989 indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Celiac Disease Research and Management (3 papers), Pregnancy and Medication Impact (3 papers), Parvovirus B19 Infection Studies (2 papers), Liver Diseases and Immunity (2 papers) and Adolescent and Pediatric Healthcare (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (417 citations), Gastroenterology (52 citations), Obstetrics and Gynecology (62 citations), Hepatology (51 citations) and Pediatrics, Perinatology and Child Health (117 citations). Lu Ban has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Laila J. Tata, Joe West, Linda Fiaschi, Jack Gibson, Tim Card, David J. Humes, Alyshah Abdul Sultan, Liam Smeeth, Pat Doyle and Rachel Sokal. Their work appears in journals such as PLoS ONE, British Journal of Haematology, BMJ Open, Gastroenterology and BJOG An International Journal of Obstetrics & Gynaecology.

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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