Uri Sagman

1.1k citations
19 papers · 905 · h-index 11

Impact in

  • Oncology top 5%
    • Lung Cancer Research Studies
    • Peptidase Inhibition and Analysis
  • Epidemiology top 10%
    • Neuroendocrine Tumor Research Advances

Papers in

    • Neuroendocrine Tumor Research Advances 11
    • Lung Cancer Research Studies 10
    • Peptidase Inhibition and Analysis 4

Uri Sagman

19 papers receiving 879 citations

Peers

Uri Sagman
Comparison fields: 5 of 64
  • Oncology 461
  • Epidemiology 355
  • Immunology 177
  • Pulmonary and Respiratory Medicine 231
  • Molecular Biology 381
Replace Motokazu Suyama with:
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Tiantao Kuang China
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Citations per field
00.5×3.7×
Motokazu Suyama · 1×
Citations per year

Countries citing papers authored by Uri Sagman

Since Specialization
Citations

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

Fields of papers citing papers by Uri Sagman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Beta 1-6 branched oligosaccharides as a marker of tumor progression in human breast and colon neoplasia.
1991318
2 1991119
3 199175
4 199073
5 199261
6 199360
7 199051
8 199037
9 198930
10 198924
11 198912
12 198810
13 19898
14 19888
15
The isolation of the human delta chain gene and its expression in normal T cells and T cell leukemias.
19888
16 19957
17 19892
18
Évaluation de classifications par le critère d'Akaike et la validation croisée
19881
19 19891

About Uri Sagman

Uri Sagman is a scholar working on Epidemiology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Molecular Biology, having authored 19 papers that have together received 905 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (11 papers), Lung Cancer Research Studies (10 papers), Peptidase Inhibition and Analysis (4 papers), Lung Cancer Treatments and Mutations (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Oncology (461 citations), Epidemiology (355 citations), Immunology (177 citations), Pulmonary and Respiratory Medicine (231 citations) and Molecular Biology (381 citations). Uri Sagman has collaborated with scholars based in Canada, United States and India. Frequent co-authors include James W. Dennis, J. Fernandes, Manon Auger, Monica De Metrio, William K. Evans, J L Yeoh, David G. Payne, Ellen Maki, Frances A. Shepherd and Riad Haddad. Their work appears in journals such as Journal of Clinical Oncology, Lung Cancer, Blood, Cancer and New England Journal of Medicine.

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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