Githa Maes

11 total papers · 1.7k total citations
2 papers, 179 citations indexed

About

Githa Maes is a scholar working on Neurology, Neurology and Immunology. According to data from OpenAlex, Githa Maes has authored 2 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Neurology, 1 paper in Neurology and 1 paper in Immunology. Recurrent topics in Githa Maes's work include Amyotrophic Lateral Sclerosis Research (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Neurological Disease Mechanisms and Treatments (1 paper). Githa Maes is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Neurological Disease Mechanisms and Treatments (1 paper). Githa Maes collaborates with scholars based in Belgium and Netherlands. Githa Maes's co-authors include Ilse Gijselinck, Sebastiaan Engelborghs, Marc Cruts, Peter P. De Deyn, Maria Mattheijssens, Karin Peeters, Patrick Cras, Christine Van Broeckhoven, Kristel Sleegers and Elise Cuyvers and has published in prestigious journals such as Neurobiology of Aging and Archives of Neurology.

In The Last Decade

Githa Maes

2 papers receiving 178 citations

Author Peers

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

Author						Papers	Cites
Githa Maes	125	90	59	45	26	2	179
Stéphanie Philtjens	128 1.0×	94 1.0×	63 1.1×	22 0.5×	41 1.6×	7	191
Manuel Ramirez‐Restrepo	98 0.8×	68 0.8×	50 0.8×	27 0.6×	112 4.3×	3	279
Xindi Guo	69 0.6×	43 0.5×	56 0.9×	52 1.2×	39 1.5×	5	174
Mark Claire	104 0.8×	81 0.9×	13 0.2×	35 0.8×	66 2.5×	5	220
Rui Wang	121 1.0×	67 0.7×	64 1.1×	9 0.2×	83 3.2×	5	259
Ceyda Llapashtica	104 0.8×	66 0.7×	52 0.9×	23 0.5×	102 3.9×	3	248
Natalie M. Scherer	130 1.0×	37 0.4×	31 0.5×	23 0.5×	46 1.8×	5	200
Tara Skorupa	176 1.4×	111 1.2×	111 1.9×	12 0.3×	53 2.0×	4	246
Alessio Ricci	143 1.1×	86 1.0×	49 0.8×	93 2.1×	56 2.2×	7	275
Menbere Wendimu	137 1.1×	63 0.7×	61 1.0×	13 0.3×	57 2.2×	4	228

Countries citing papers authored by Githa Maes

Since Specialization

Citations

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

Fields of papers citing papers by Githa Maes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Githa Maes

This figure shows the co-authorship network connecting the top 25 collaborators of Githa Maes. A scholar is included among the top collaborators of Githa Maes 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 Githa Maes. Githa Maes 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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