Grigory Tsaur

2.4k citations
57 papers · 195 · h-index 8

Impact in

Papers in

Grigory Tsaur

48 papers receiving 189 citations

Peers

Grigory Tsaur
Comparison fields: 5 of 32
  • Hematology 113
  • Public Health, Environmental and Occupational Health 116
  • Genetics 23
  • Neurology 32
  • Cancer Research 30
Replace Л. Г. Фечина with:
Л. Г. Фечина Russia
Gabriele Körner Germany
Maria Chiara Abbenante Italy
Nikola Hagedorn Germany
Desiree De Lange Netherlands
Jennie B. Feliu United States
Rupali Bhave United States
Marie-Pierre Gourin France
Catherine E. Jenkins Canada
Eddy H.J. Van Roon Netherlands
Grigory Tsaur relative to Л. Г. Фечина Russia Л. Г. Фечина's profile →
Citations per field
00.5×1.5×2.3×
Л. Г. Фечина · 1×
Citations per year

Countries citing papers authored by Grigory Tsaur

Since Specialization
Citations

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

Fields of papers citing papers by Grigory Tsaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201919
2 201815
3 201614
4 201812
5 201910
6 20159
7 20139
8 20198
9 20217
10 20196
11 20216
12 20165
13 20185
14 20185
15 20214
16 20214
17 20233
18 20193
19
[Minimal residual disease monitoring by flow cytometry in children with acute lymphoblastic leukemia].
20103
20
[Prognostic value of bone marrow lesions in children with neuroblastoma detected by flow cytometry].
20143

About Grigory Tsaur

Grigory Tsaur is a scholar working on Public Health, Environmental and Occupational Health, Hematology, Molecular Biology, Genetics and Neurology, having authored 57 papers that have together received 195 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (33 papers), Acute Myeloid Leukemia Research (18 papers), Chronic Myeloid Leukemia Treatments (15 papers), Chronic Lymphocytic Leukemia Research (11 papers), Neuroblastoma Research and Treatments (7 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). The work is most often cited by research in Hematology (113 citations), Public Health, Environmental and Occupational Health (116 citations), Genetics (23 citations), Neurology (32 citations) and Cancer Research (30 citations). Grigory Tsaur has collaborated with scholars based in Russia, Belarus and Germany. Frequent co-authors include А. М. Попов, Л. Г. Фечина, Yulia Olshanskaya, Godelieve A.M. Tytgat, Elena Zerkalenkova, Michael Maschan, Claus Meyer, Guenter Henze, Hiroto Inaba and Alexander Solodovnikov. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Cancer Research and Clinical Oncology, Cancers and BMC Medical Genomics.

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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