Mati Shaklai

2.1k total citations
83 papers, 1.7k citations indexed

About

Mati Shaklai is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Mati Shaklai has authored 83 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 26 papers in Genetics and 20 papers in Hematology. Recurrent topics in Mati Shaklai's work include Chronic Lymphocytic Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (14 papers) and Acute Myeloid Leukemia Research (8 papers). Mati Shaklai is often cited by papers focused on Chronic Lymphocytic Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (14 papers) and Acute Myeloid Leukemia Research (8 papers). Mati Shaklai collaborates with scholars based in Israel, United States and Slovakia. Mati Shaklai's co-authors include Osnat Bairey, Yael Zimra, Esther Rabizadeh, Ada Rephaeli, Dorit Blickstein, Abraham Nudelman, Miron Prokocimer, J Pinkhas, Jacob Luboshitz and Judith Lahav and has published in prestigious journals such as Blood, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Mati Shaklai

81 papers receiving 1.6k citations

Peers

Mati Shaklai
Comparison fields: 5 of 112
  • Molecular Biology 826
  • Oncology 317
  • Hematology 296
  • Genetics 284
  • Pathology and Forensic Medicine 254
Replace Howard H. Sussman with:
Howard H. Sussman United States
Roberto Taramelli Italy
Christopher Frantz United States
William F. Glass United States
Carl E. Freter United States
Manfred Eulitz Germany
Michael J. Ahearn United States
R. Gitendra Wickremasinghe United Kingdom
Beverly D. Smolich United States
AF LoBuglio United States
Howard H. Sussman United States View profile →
Citations per field, relative to Mati Shaklai
Mati Shaklai · 1×
Citations per year, relative to Mati Shaklai
Mati Shaklai · 1×

Countries citing papers authored by Mati Shaklai

Since Specialization
Citations

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

Fields of papers citing papers by Mati Shaklai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mati Shaklai

This figure shows the co-authorship network connecting the top 25 collaborators of Mati Shaklai. A scholar is included among the top collaborators of Mati Shaklai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mati Shaklai. Mati Shaklai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 25
3 2
4 14
5 12
6 37
7 118
8 5
9 18
10 14
11 30
12 18
13 3
14 70
15 5
16 2
17 3
18 13
19 10
20
Drug-induced agranulocytosis. A survey of twenty-three episodes.
2

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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2026