S Pavlovsky

4.5k citations
81 papers · 1.4k indexed · h-index 21

Impact in

Papers in

    • Acute Myeloid Leukemia Research 15
    • Multiple Myeloma Research and Treatments 9
    • Chronic Lymphocytic Leukemia Research 14

S Pavlovsky

79 papers receiving 1.3k citations

Peers

S Pavlovsky
Comparison fields: 5 of 74
  • Hematology 408
  • Pathology and Forensic Medicine 569
  • Genetics 265
  • Oncology 585
  • Neurology 236
Replace D.P. Deakin with:
D.P. Deakin United Kingdom
L Resegotti Italy
R. E. Marcus United Kingdom
W S Velasquez United States
J R Redman United States
Patrizio Mazza Italy
Penelope R. A. Taylor United Kingdom
Rika Sakai Japan
Maura Brugiatelli Italy
J R Anderson United States
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Citations per field
00.5×5.5×
D.P. Deakin · 1×
Citations per year

Countries citing papers authored by S Pavlovsky

Since Specialization
Citations

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

Fields of papers citing papers by S Pavlovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Gammapatía monoclonal de significado incierto: factores de pronóstico, evolución y riesgo
20130
2 20125
3 20112
4 200935
5 200910
6 200618
7 20044
8 200238
9 2001118
10 2001152
11 199920
12 199810
13 199719
14 199522
15 199419
16 19915
17 19899
18 198912
19 1988108
20 198827

About S Pavlovsky

S Pavlovsky is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Public Health, Environmental and Occupational Health, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (24 papers), Acute Lymphoblastic Leukemia research (23 papers), Acute Myeloid Leukemia Research (15 papers), Chronic Lymphocytic Leukemia Research (14 papers), Neutropenia and Cancer Infections (10 papers), Multiple Myeloma Research and Treatments (9 papers), Childhood Cancer Survivors' Quality of Life (8 papers) and Lung Cancer Treatments and Mutations (7 papers). The work is most often cited by research in Hematology (408 citations), Pathology and Forensic Medicine (569 citations), Genetics (265 citations), Oncology (585 citations) and Neurology (236 citations). S Pavlovsky has collaborated with scholars based in Argentina, United States and Uruguay. Frequent co-authors include Federico Sackmann Muriel, Giuseppe Milone, Claudia Corrado, César O. Freytes, Mary M. Horowitz, Oscar Contreras Ortiz, Philip A. Rowlings, Hillard M. Lazarus, Jamés O. Armitage and Armand Keating. Their work appears in journals such as Cancer, Journal of Clinical Oncology, Blood, Annals of Oncology and British Journal of Haematology.

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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