Dávid Ma

6.7k total citations · 1 hit paper
69 papers, 2.9k citations indexed

About

Dávid Ma is a scholar working on Hematology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Dávid Ma has authored 69 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Hematology, 13 papers in Oncology and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Dávid Ma's work include Hematopoietic Stem Cell Transplantation (13 papers), Acute Myeloid Leukemia Research (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). Dávid Ma is often cited by papers focused on Hematopoietic Stem Cell Transplantation (13 papers), Acute Myeloid Leukemia Research (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). Dávid Ma collaborates with scholars based in Australia, United States and United Kingdom. Dávid Ma's co-authors include Craig H. Moskowitz, Norbert Schmitz, Devinder Gill, Marek Trněný, Nicolas Mounier, David C. Linch, Josette Brière, Nicolas Ketterer, Christian Gisselbrecht and Ofer Shpilberg and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

Dávid Ma

66 papers receiving 2.8k citations

Hit Papers

Salvage Regimens With Autologous Transplantation for Rela... 2010 2026 2015 2020 2010 250 500 750 1000

Peers

Dávid Ma
Comparison fields: 5 of 118
  • Pathology and Forensic Medicine 1.3k
  • Oncology 1.2k
  • Genetics 603
  • Hematology 585
  • Molecular Biology 472
Replace Jacek Szechiński with:
Jacek Szechiński Poland
James D. Hoyer United States
Giovanni Grignani Italy
Andrea Rubbert‐Roth Germany
Francesca Ingegnoli Italy
Albert S. Yu United States
Keith S. Kanik United States
Cheryl Yarboro United States
Catherine Diefenbach United States
Anita D’Souza United States
Jacek Szechiński Poland View profile →
Citations per field, relative to Dávid Ma
Dávid Ma · 1×
Citations per year, relative to Dávid Ma
Dávid Ma · 1×

Countries citing papers authored by Dávid Ma

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dávid Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Dávid Ma. A scholar is included among the top collaborators of Dávid Ma 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 Dávid Ma. Dávid Ma 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 2
2 2
3 1
4
β-amyloid and tau drive early Alzheimer’s disease decline while glucose hypometabolism drives late decline
2
5 1
6 244
7 4
8 41
9 14
10
Salvage Regimens With Autologous Transplantation for Relapsed Large B-Cell Lymphoma in the Rituximab Era breakdown →
1117
11 21
12 79
13 70
14 66
15 14
16 29
17 118
18 125
19 16
20 13

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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