Małgorzata Wach

62 total papers · 1.4k total citations
35 papers, 684 citations indexed

About

Małgorzata Wach is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Małgorzata Wach has authored 35 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 15 papers in Pathology and Forensic Medicine and 14 papers in Hematology. Recurrent topics in Małgorzata Wach's work include Chronic Lymphocytic Leukemia Research (24 papers), Lymphoma Diagnosis and Treatment (14 papers) and Chronic Myeloid Leukemia Treatments (9 papers). Małgorzata Wach is often cited by papers focused on Chronic Lymphocytic Leukemia Research (24 papers), Lymphoma Diagnosis and Treatment (14 papers) and Chronic Myeloid Leukemia Treatments (9 papers). Małgorzata Wach collaborates with scholars based in Poland, United States and Canada. Małgorzata Wach's co-authors include Daniel Lysák, Martin Šimkovič, Paolo Ghia, Árpád Illés, Wojciech Jurczak, Eric J. Avery, Andrzej Pluta, Abraham Jacob, Sean Dolan and Javier de la Serna and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Małgorzata Wach

33 papers receiving 680 citations

Hit Papers

ASCEND: Phase III, Random... 2020 2026 2022 2024 2020 2025 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Małgorzata Wach 557 438 217 195 115 35 684
A. M. Liberati 480 0.9× 363 0.8× 201 0.9× 159 0.8× 127 1.1× 20 689
Luciano Levato 437 0.8× 255 0.6× 267 1.2× 188 1.0× 128 1.1× 39 657
Sandra Kanan 535 1.0× 472 1.1× 171 0.8× 292 1.5× 145 1.3× 23 762
Petra Langerbeins 519 0.9× 445 1.0× 158 0.7× 226 1.2× 121 1.1× 37 655
Andrew Lipsky 563 1.0× 401 0.9× 203 0.9× 257 1.3× 103 0.9× 23 690
Marie‐Sarah Dilhuydy 373 0.7× 327 0.7× 136 0.6× 247 1.3× 89 0.8× 29 600
Sasanka M. Handunnetti 547 1.0× 492 1.1× 169 0.8× 149 0.8× 291 2.5× 23 729
Natali Pflug 441 0.8× 371 0.8× 106 0.5× 216 1.1× 220 1.9× 27 672
Emily Hsu 617 1.1× 514 1.2× 178 0.8× 218 1.1× 96 0.8× 29 691
Mauro Spriano 420 0.8× 339 0.8× 210 1.0× 214 1.1× 230 2.0× 50 709

Countries citing papers authored by Małgorzata Wach

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Wach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Wach

This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Wach. A scholar is included among the top collaborators of Małgorzata Wach 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 Małgorzata Wach. Małgorzata Wach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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