Marian L. Rivas

753 citations
23 papers · 545 indexed · h-index 13

Marian L. Rivas

22 papers receiving 491 citations

Peers

Marian L. Rivas
Comparison fields: 5 of 81
  • Urology 103
  • Biotechnology 59
  • Nephrology 48
  • Pediatrics, Perinatology and Child Health 124
  • Periodontics 19
Replace Gilles G. Lestringant with:
Gilles G. Lestringant United Arab Emirates
R. Rebourcet France
Hoi Kin Wong Hong Kong
Dorothy A. Gibbs United Kingdom
James A. Fortenberry United States
Linda M. Randolph United States
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Viktoria von Schönfeldt Germany
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Citations per year

Countries citing papers authored by Marian L. Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Marian L. Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marian L. Rivas. 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 Marian L. Rivas. The network helps show where Marian L. Rivas may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199619
2 19957
3 199214
4 1992108
5 19917
6 199020
7 19904
8 199031
9 19899
10
RISK-XLR: A Microcomputer-Based Genetic Risk Program for X-Linked Recessive Traits
19871
11
Regionalization in hereditary IgA nephropathy.
198724
12 198040
13 19804
14 197812
15 19788
16
Genetic studies of human acidic salivary protein (Pa).
197537
17
Human amylase loci: genetic linkage with the Duffy blood group locus and assignment to linkage group I.
197329
18
Salivary and pancreatic amylase: electrophoretic characterizations and genetic studies.
197385
19
Genetic linkage confirmed between the locus for myotonic dystrophy and the ABH-secretion and Lutheran blood group loci.
197241
20 19650

About Marian L. Rivas

Marian L. Rivas is a scholar working on Nephrology, Biotechnology and Clinical Biochemistry, having authored 23 papers that have together received 545 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (3 papers), Salivary Gland Disorders and Functions (3 papers), Complement system in diseases (3 papers), Enzyme Production and Characterization (3 papers), Metabolism and Genetic Disorders (2 papers), Pancreatitis Pathology and Treatment (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Urology (103 citations), Biotechnology (59 citations) and Nephrology (48 citations). Marian L. Rivas has collaborated with scholars based in United States and Italy. Frequent co-authors include A.D. Merritt, Robert Wyatt, H. Norman Noe, Joseph Peeden, R. C. Newell, David Bixler, P.M. Conneally, Jewell C. Ward, E.W. Lovrien and Richard D. Friedman. Their work appears in journals such as Cytogenetic and Genome Research, The Journal of Pediatrics, The Journal of Urology, Journal of Dental Research and Human Genetics.

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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