Bianca Lang

7.5k citations
79 papers · 2.2k indexed · h-index 26

Bianca Lang

76 papers receiving 2.1k citations

Peers

Bianca Lang
Comparison fields: 5 of 83
  • Rheumatology 817
  • Hematology 602
  • Speech and Hearing 270
  • Genetics 321
  • Epidemiology 730
Replace Charles H. Spencer with:
Charles H. Spencer United States
Berit Flatø Norway
Joseph E. Levinson United States
Liza McCann United Kingdom
Francesco Zulian Italy
Leonard D. Stein Canada
Sampath Prahalad United States
B M Ansell United Kingdom
Janet Gardner‐Medwin United Kingdom
Loredana Lepore Italy
Bianca Lang relative to Charles H. Spencer United States Charles H. Spencer's profile →
Citations per field
00.5×3.1×
Charles H. Spencer · 1×
Citations per year

Countries citing papers authored by Bianca Lang

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20234
3 20234
4 20223
5 20217
6 20197
7
Therapy-resistant temporal lobe epilepsy in a cat - Laboratory findings, diagnostic imaging and histopathological examination showed more than one possible aetiology
20171
8 20175
9 20143
10 201315
11 201120
12 201061
13
A novel antigenic target in Morvan's syndrome
20081
14 20061
15 200515
16 200110
17 2000102
18 199738
19 199317
20 199039

About Bianca Lang

Bianca Lang is a scholar working on Hematology, Rheumatology and Speech and Hearing, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (26 papers), Inflammatory Myopathies and Dermatomyositis (13 papers), Systemic Lupus Erythematosus Research (12 papers), Adolescent and Pediatric Healthcare (11 papers), Kawasaki Disease and Coronary Complications (10 papers), Eosinophilic Disorders and Syndromes (8 papers), Rheumatoid Arthritis Research and Therapies (6 papers) and Childhood Cancer Survivors' Quality of Life (5 papers). The work is most often cited by research in Rheumatology (817 citations), Hematology (602 citations) and Speech and Hearing (270 citations). Bianca Lang has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Earl D. Silverman, Ronald M. Laxer, Graham J. Reid, Patrick J. McGrath, Adam M. Huber, Nina Birdi, Chaim M. Roifman, Brian M. Feldman, Rayfel Schneider and G Rauh. Their work appears in journals such as Pediatric Rheumatology, The Journal of Pediatrics, The Journal of Rheumatology, Arthritis Care & Research and Arthritis & Rheumatology.

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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