Celia J. Fang

2.2k citations
13 papers · 1.7k indexed · 2 hit papers · h-index 10

Celia J. Fang

13 papers receiving 1.7k citations

Hit Papers

Binding and uptake of H-ferritin are mediated by human tr...4572006202620122019100200300400500

Peers

Celia J. Fang
Comparison fields: 5 of 88
  • Nephrology 468
  • Hematology 556
  • Immunology 999
  • Physiology 162
  • Transplantation 73
Replace Jonathan P. Hannan with:
Jonathan P. Hannan United Kingdom
Ruth R. French United Kingdom
Willy Landuyt Belgium
Anastas Pashov United States
John D. Pound United Kingdom
Stephen A. Beers United Kingdom
Kristin Strumane Netherlands
Steinar Funderud Norway
Pascal Deschatelets United States
Marleen Voorhorst Netherlands
Celia J. Fang relative to Jonathan P. Hannan United Kingdom Jonathan P. Hannan's profile →
Citations per field
00.5×6.1×
Jonathan P. Hannan · 1×
Citations per year

Countries citing papers authored by Celia J. Fang

Since Specialization
Citations

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

Fields of papers citing papers by Celia J. Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Celia J. Fang. 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 Celia J. Fang. The network helps show where Celia J. Fang may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20251
2 2011212
3
Binding and uptake of H-ferritin are mediated by human transferrin receptor-1breakdown →
2010457
4 200926
5 200822
6 200880
7 20073
8 2007110
9 2006102
10 20061
11
Genetics of HUS: the impact of MCP, CFH, and IF mutations on clinical presentation, response to treatment, and outcomebreakdown →
2006531
12 200527
13 1997158

About Celia J. Fang

Celia J. Fang is a scholar working on Genetics, Immunology and Nephrology, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complement system in diseases (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Transgenic Plants and Applications (2 papers), Renal Diseases and Glomerulopathies (2 papers), Adenosine and Purinergic Signaling (1 paper), interferon and immune responses (1 paper), Pregnancy and preeclampsia studies (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Nephrology (468 citations), Hematology (556 citations) and Immunology (999 citations). Celia J. Fang has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include John P. Atkinson, M. Kathryn Liszewski, Mary C. Nakamura, Marina Noris, David Kavanagh, Gaia Pianetti, Hisashi Arase, Frank M. Torti, William E. Seaman and Suzy V. Torti. Their work appears in journals such as Molecular Immunology, Blood, The Journal of Immunology, British Journal of Haematology and Autoimmunity Reviews.

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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