Lu Ban

33 papers receiving 898 citations

Peers

Lu Ban
Comparison fields: 5 of 89
  • Public Health, Environmental and Occupational Health 454
  • Obstetrics and Gynecology 117
  • Gastroenterology 52
  • Pediatrics, Perinatology and Child Health 161
  • Hepatology 63
Replace Sue Seen Tsing Lo with:
Sue Seen Tsing Lo Hong Kong
Hyun Sun Ko South Korea
Clifford R. Kay United Kingdom
Anna But Finland
Linda Fiaschi United Kingdom
Ann L. Clark United States
Wendy Hansen United States
Valerie E. Whiteman United States
Darshan P. Patel United States
Shoboo Rahmati Iran
Lu Ban relative to Sue Seen Tsing Lo Hong Kong Sue Seen Tsing Lo's profile →
Citations per field
00.5×4.8×
Sue Seen Tsing Lo · 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201585
2 201369
3 201469
4 201265
5 201757
6 201454
7 201254
8 201052
9 202046
10 201646
11 201635
12 201535
13 201933
14 201427
15 202026
16 201923
17 202223
18 201817
19 201716
20 201916

About Lu Ban

Lu Ban is a scholar working on Surgery, Epidemiology, Public Health, Environmental and Occupational Health, Hepatology and Hematology, having authored 39 papers that have together received 920 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Pregnancy and Medication Impact (6 papers), Maternal Mental Health During Pregnancy and Postpartum (5 papers), Eosinophilic Esophagitis (5 papers), Liver Disease and Transplantation (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Adolescent and Pediatric Healthcare (3 papers) and Celiac Disease Research and Management (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (454 citations), Obstetrics and Gynecology (117 citations), Gastroenterology (52 citations), Pediatrics, Perinatology and Child Health (161 citations) and Hepatology (63 citations). Lu Ban has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Laila J. Tata, Joe West, Linda Fiaschi, Tim Card, Jack Gibson, David J. Humes, Alyshah Abdul Sultan, Pat Doyle, Liam Smeeth and Rachel Sokal. Their work appears in journals such as PLoS ONE, British Journal of Haematology, Gastroenterology, BMJ Open 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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