Rita Alam

668 citations
14 papers · 481 indexed · h-index 9

Impact in

Papers in

    • Cancer, Lipids, and Metabolism 3
    • Lipoproteins and Cardiovascular Health 5
    • Cholesterol and Lipid Metabolism 3

Rita Alam

14 papers receiving 469 citations

Peers

Rita Alam
Comparison fields: 5 of 50
  • Pulmonary and Respiratory Medicine 172
  • Molecular Biology 329
  • Urology 24
  • Pediatrics, Perinatology and Child Health 65
  • Cardiology and Cardiovascular Medicine 66
Replace Harry Nísen with:
Harry Nísen Finland
NA Noble United States
H. Suzuki Japan
Igor V. Yosipiv United States
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Anna Kruglikova Russia
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Citations per field
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Citations per year

Countries citing papers authored by Rita Alam

Since Specialization
Citations

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

Fields of papers citing papers by Rita Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Rita Alam, 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 Rita Alam Line = papers co-authored together Rita Alam links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200493
2 200335
3
Frequent association of beta-catenin and WT1 mutations in Wilms tumors.
2000157
4 199717
5 199612
6
Gene polymorphism of apolipoprotein AI, the major protein of high density lipoprotein in predicting stroke risk among white and black subjects.
19936
7 199214
8 19926
9
Molecular biology of atherothrombotic brain infarction.
19905
10 198942
11 198960
12 19863
13 198525
14 19706

About Rita Alam

Rita Alam is a scholar working on Cancer Research, Surgery, Urology, Pulmonary and Respiratory Medicine and Pharmacology, having authored 14 papers that have together received 481 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Cholesterol and Lipid Metabolism (3 papers), Renal and related cancers (3 papers), Cancer, Lipids, and Metabolism (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Renal cell carcinoma treatment (2 papers) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (172 citations), Molecular Biology (329 citations), Urology (24 citations), Pediatrics, Perinatology and Child Health (65 citations) and Cardiology and Cardiovascular Medicine (66 citations). Rita Alam has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Vicki Huff, Christopher I. Amos, Sourindra Maiti, Frank M. Yatsu, Syed Sartaj Alam, Valerié Schumacher, Brigitte Royer‐Pokora, Manfred Beier, Angela Weirich and Lisa Tsui. Their work appears in journals such as Stroke, Atherosclerosis, Neurology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Oncogene.

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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