C. R. Rizza

6.2k citations
92 papers · 4.8k indexed · 1 hit paper · h-index 34

C. R. Rizza

90 papers receiving 4.4k citations

Hit Papers

Human immunodeficiency virus genetic variation that can e...8281991202620022014250500750

Peers

C. R. Rizza
Comparison fields: 5 of 129
  • Virology 1.2k
  • Hematology 2.1k
  • Hepatology 651
  • Genetics 554
  • Immunology 974
Replace Margaret W. Hilgartner with:
Margaret W. Hilgartner United States
Edward D. Gomperts United States
A. Gringeri Italy
C A Ludlam United Kingdom
P. B. A. Kernoff United Kingdom
JE Groopman United States
Bruce L. Evatt United States
Margaret V. Ragni United States
Hernán Valdez United States
Elena Santagostino Italy
C. R. Rizza relative to Margaret W. Hilgartner United States Margaret W. Hilgartner's profile →
Citations per field
00.5×1.5×
Margaret W. Hilgartner · 1×
Citations per year

Countries citing papers authored by C. R. Rizza

Since Specialization
Citations

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

Fields of papers citing papers by C. R. Rizza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. R. Rizza. 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 C. R. Rizza. The network helps show where C. R. Rizza may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200126
2 199587
3 199362
4 199215
5 199254
6 199258
7 199029
8 198969
9 19898
10 1988381
11
Estimation of genetic risks of carriership for possible carriers of christmas disease (hemophilia b)
19869
12 1983100
13 1983163
14 19808
15 197711
16 19770
17 19765
18 197429
19 197410
20 196611

About C. R. Rizza

C. R. Rizza is a scholar working on Hematology, Virology, Genetics, Management of Technology and Innovation and Internal Medicine, having authored 92 papers that have together received 4.8k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (59 papers), Blood Coagulation and Thrombosis Mechanisms (23 papers), Platelet Disorders and Treatments (16 papers), Chronic Myeloid Leukemia Treatments (14 papers), Blood properties and coagulation (8 papers), HIV Research and Treatment (8 papers), Cancer-related gene regulation (7 papers) and Blood donation and transfusion practices (7 papers). The work is most often cited by research in Virology (1.2k citations), Hematology (2.1k citations), Hepatology (651 citations), Genetics (554 citations) and Immunology (974 citations). C. R. Rizza has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Rosemary J. D. Spooner, Douglas F. Nixon, Andrew J. McMichael, John Elvin, Rosemary Biggs, F. Giannelli, Paul Giangrande, Jonathan Rothbard, Frances Gotch and Charles R. M. Bangham. Their work appears in journals such as British Journal of Haematology, The Lancet, Thrombosis and Haemostasis, Nature and Haemophilia.

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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