Maria Baldo

415 total citations
2 papers, 10 citations indexed

About

Maria Baldo is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Oncology. According to data from OpenAlex, Maria Baldo has authored 2 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Genetics, 1 paper in Ecology, Evolution, Behavior and Systematics and 1 paper in Oncology. Recurrent topics in Maria Baldo's work include Insect and Arachnid Ecology and Behavior (1 paper), CAR-T cell therapy research (1 paper) and Insect and Pesticide Research (1 paper). Maria Baldo is often cited by papers focused on Insect and Arachnid Ecology and Behavior (1 paper), CAR-T cell therapy research (1 paper) and Insect and Pesticide Research (1 paper). Maria Baldo collaborates with scholars based in New Zealand and United States. Maria Baldo's co-authors include David E. Pattemore, Mark Goodwin, Michael D. Lumsden, Koen van Besien, Yen‐Michael S. Hsu, Jingmei Hsu, Adrienne A. Phillips, Usama Gergis, Tsiporah B. Shore and Sebastian Mayer and has published in prestigious journals such as Blood and PLoS ONE.

In The Last Decade

Maria Baldo

2 papers receiving 10 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maria Baldo New Zealand	2	7	7	4	2	2	2	10
Edward James United States	4	6 0.9×	10 1.4×	3 0.8×	2 1.0×		6	44
Raissa G. G. Kay Switzerland	2	5 0.7×	4 0.6×	4 1.0×	2 1.0×		3	10
Katharine Turvey United Kingdom	2	4 0.6×	5 0.7×	3 0.8×			2	10
Bernardo Espinoza Costa Rica	2	8 1.1×	5 0.7×	7 1.8×			2	8
Matteo Mondani United Kingdom	2	5 0.7×	3 0.4×	4 1.0×			2	5
Claire Asher United Kingdom	2	5 0.7×	3 0.4×	4 1.0×			6	7
Ana Dal Molin Brazil	2	5 0.7×	4 0.6×	8 2.0×	3 1.5×		3	16
Lisa Arzt‐Gradwohl Austria	5	3 0.4×	10 1.4×	5 1.3×	1 0.5×		7	55
Plazi	2	6 0.9×	4 0.6×	9 2.3×	1 0.5×		12	13
Federico Ronchetti Italy	2	2 0.3×	5 0.7×	3 0.8×			9	9

Countries citing papers authored by Maria Baldo

Since Specialization

Citations

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

Fields of papers citing papers by Maria Baldo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Baldo

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

All Works

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2 of 2 papers shown

1.

Baldo, Maria, et al.. (2022). Marker assisted selection for Varroa destructor resistance in New Zealand honey bees. PLoS ONE. 17(9). e0273289–e0273289. 8 indexed citations

2.

Hsu, Jingmei, Usama Gergis, Tsiporah B. Shore, et al.. (2019). Thirty-Day Transfusion and G-CSF Requirement after CD19 CAR T Infusion. Blood. 134(Supplement_1). 1169–1169. 2 indexed citations

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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