V. Sandor

3.2k citations
14 papers · 736 · h-index 8

Impact in

  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Glioma Diagnosis and Treatment
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • Colorectal Cancer Treatments and Studies 5
    • Cancer Treatment and Pharmacology 2
    • Pancreatic and Hepatic Oncology Research 2
    • Drug Transport and Resistance Mechanisms 2
    • Melanoma and MAPK Pathways 3

V. Sandor

14 papers receiving 723 citations

Peers

V. Sandor
Comparison fields: 5 of 59
  • Genetics 310
  • Hematology 158
  • Neurology 171
  • Pathology and Forensic Medicine 196
  • Oncology 183
Replace Jennifer Lauchle with:
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V. Sandor relative to Jennifer Lauchle United States Jennifer Lauchle's profile →
Citations per field
00.5×1.5×2.4×
Jennifer Lauchle · 1×
Citations per year

Countries citing papers authored by V. Sandor

Since Specialization
Citations

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

Fields of papers citing papers by V. Sandor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2000250
2 1998173
3 2015164
4 199846
5 201729
6 201125
7 201914
8 201914
9 20177
10 20165
11 20035
12 20142
13 20171
14 19991

About V. Sandor

V. Sandor is a scholar working on Oncology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 14 papers that have together received 736 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (5 papers), Melanoma and MAPK Pathways (3 papers), Cancer Treatment and Pharmacology (2 papers), Computational Drug Discovery Methods (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Synthesis of Tetrazole Derivatives (2 papers). The work is most often cited by research in Genetics (310 citations), Hematology (158 citations), Neurology (171 citations), Pathology and Forensic Medicine (196 citations) and Oncology (183 citations). V. Sandor has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Susan E. Bates, Edward A. Sausville, Susan D. Mertins, Adrian M. Senderowicz, Dan L. Sackett, Mikhail V. Blagosklonny, Richard H. Simon, Deborah A. Pearson, David Köhler and N Patronas. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Molecular Pharmacology, British Journal of Cancer and Haematologica.

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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