Sandra Bašić‐Kinda

638 citations
42 papers · 277 · h-index 11

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Sandra Bašić‐Kinda

31 papers receiving 269 citations

Peers

Sandra Bašić‐Kinda
Comparison fields: 5 of 47
  • Hematology 102
  • Genetics 93
  • Pathology and Forensic Medicine 85
  • Oncology 87
  • Neurology 27
Replace Haerim Chung with:
Haerim Chung South Korea
Mary Lowery Nordberg United States
Julie C. Porcher United States
Massimo Pini Italy
Javier Suela Spain
Luk Cox Belgium
Elena Sebastián Spain
M Kazmi United Kingdom
Yoshitomo Maesako Japan
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Citations per field
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Citations per year

Countries citing papers authored by Sandra Bašić‐Kinda

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Bašić‐Kinda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra Bašić‐Kinda. 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 Sandra Bašić‐Kinda. The network helps show where Sandra Bašić‐Kinda may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201445
2 201834
3 200924
4 201123
5 200919
6 201115
7 201013
8 202112
9 201611
10 201510
11 201910
12 201310
13 20228
14 20086
15 20205
16 20225
17 20184
18
Extramedullary plasmacytoma imitating neoplasm of the gallbladder fossa after cholecystectomy.
20124
19 20163
20 20223

About Sandra Bašić‐Kinda

Sandra Bašić‐Kinda is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Genetics and Molecular Biology, having authored 42 papers that have together received 277 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (20 papers), Chronic Lymphocytic Leukemia Research (10 papers), Multiple Myeloma Research and Treatments (6 papers), Viral-associated cancers and disorders (5 papers), Acute Lymphoblastic Leukemia research (5 papers), COVID-19 and healthcare impacts (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Hematology (102 citations), Genetics (93 citations), Pathology and Forensic Medicine (85 citations), Oncology (87 citations) and Neurology (27 citations). Sandra Bašić‐Kinda has collaborated with scholars based in Croatia, Germany and United Kingdom. Frequent co-authors include Nives Pećina‐Šlaus, Anja Kafka, Boris Labar, Igor Aurer, Ivo Radman, Zdravko Mitrović, Ivana Ilić, Marin Nola, Snježana Dotlić and Damir Nemet. Their work appears in journals such as HemaSphere, Biomedicines, International Journal of Hematology, Annals of Hematology and Cancers.

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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