Ndate Fall

1.7k citations
32 papers · 1.5k · h-index 18

Impact in

  • Hematology top 1%
    • Autoimmune and Inflammatory Disorders Research
  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research
    • Rheumatoid Arthritis Research and Therapies

Papers in

    • Autoimmune and Inflammatory Disorders Research 16
    • Systemic Lupus Erythematosus Research 3

Ndate Fall

31 papers receiving 1.4k citations

Peers

Ndate Fall
Comparison fields: 5 of 71
  • Hematology 867
  • Rheumatology 121
  • Infectious Diseases 111
  • Immunology 101
  • Ophthalmology 41
Replace H Kaneoka with:
H Kaneoka Japan
Sang Mee Hwang South Korea
Margje H. Haverkamp Netherlands
Mette Christiansen Denmark
Kazuhiro Kogawa Japan
Hiroo Maeda Japan
Henk‐Jan van den Ham Netherlands
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Karen E. Drysdale Australia
Hemlata Varsani United Kingdom
Ndate Fall relative to H Kaneoka Japan H Kaneoka's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ndate Fall

Since Specialization
Citations

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

Fields of papers citing papers by Ndate Fall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007214
2 2014178
3 2015147
4 2009142
5 2019100
6 201778
7 201673
8 201358
9 201757
10 200554
11 201047
12 201245
13 201841
14 202041
15 201840
16 201230
17 200725
18 202123
19 201617
20 200715

About Ndate Fall

Ndate Fall is a scholar working on Hematology, Rheumatology, General Health Professions, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (16 papers), Streptococcal Infections and Treatments (3 papers), Dermatological diseases and infestations (3 papers), Systemic Lupus Erythematosus Research (3 papers), Health Policy Implementation Science (2 papers), Mobile Health and mHealth Applications (2 papers), Dermatology and Skin Diseases (1 paper) and Indoor Air Quality and Microbial Exposure (1 paper). The work is most often cited by research in Hematology (867 citations), Rheumatology (121 citations), Infectious Diseases (111 citations), Immunology (101 citations) and Ophthalmology (41 citations). Ndate Fall has collaborated with scholars based in United States, Uganda and Germany. Frequent co-authors include Alexei A. Grom, Sherry Thornton, Grant S. Schulert, Michael Barnes, Susan D. Thompson, Kejian Zhang, Ammar Husami, Thomas A. Griffin, Robert Allen Colbert and David N. Glass. Their work appears in journals such as Pediatric Rheumatology, Arthritis & Rheumatology, Arthritis Research & Therapy, Journal of Medical Entomology and The Lancet 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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