Anita M.A.P. Govers

10 total papers · 508 total citations
7 papers, 150 citations indexed

About

Anita M.A.P. Govers is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Hematology. According to data from OpenAlex, Anita M.A.P. Govers has authored 7 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Hematology. Recurrent topics in Anita M.A.P. Govers's work include Acute Myeloid Leukemia Research (3 papers), Pediatric Pain Management Techniques (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Anita M.A.P. Govers is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Pediatric Pain Management Techniques (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Anita M.A.P. Govers collaborates with scholars based in Netherlands and United States. Anita M.A.P. Govers's co-authors include Marc A. Benninga, Arine M. Vlieger, Juliette M.T.M. Rutten, Paul J. Coffer, Marije Bartels, Cornelieke Pals, Marc Bierings, Stephin J. Vervoort, Veerle Fleskens and Rogier van Gent and has published in prestigious journals such as Blood, Gastroenterology and PLoS ONE.

In The Last Decade

Anita M.A.P. Govers

7 papers receiving 143 citations

Author Peers

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

Author						Papers	Cites
Anita M.A.P. Govers	72	59	49	24	23	7	150
Frank K. Abbot	115 1.6×	14 0.2×	18 0.4×	15 0.6×	20 0.9×	7	243
Hyo Jin Ryu	100 1.4×	9 0.2×	20 0.4×	14 0.6×	49 2.1×	9	254
S. W. Cho	66 0.9×	20 0.3×	11 0.2×	8 0.3×	15 0.7×	7	246
Elaine Chung	123 1.7×	8 0.1×	21 0.4×	9 0.4×	19 0.8×	8	176
Stéphanie Mondelaers	135 1.9×	4 0.1×	30 0.6×	6 0.3×	21 0.9×	9	181
Stephen J. Vanner	98 1.4×	8 0.1×	23 0.5×	6 0.3×	21 0.9×	6	179
Jody Rusch	13 0.2×	12 0.2×	10 0.2×	6 0.3×	117 5.1×	12	244
Robert P. Harris	105 1.5×	11 0.2×	18 0.4×	1 0.0×	35 1.5×	8	192
Byungchang Jin	88 1.2×	5 0.1×	13 0.3×	2 0.1×	81 3.5×	9	220
Nabila Moussaoui	45 0.6×	39 0.7×	20 0.4×		101 4.4×	7	218

Countries citing papers authored by Anita M.A.P. Govers

Since Specialization

Citations

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

Fields of papers citing papers by Anita M.A.P. Govers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anita M.A.P. Govers. 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 Anita M.A.P. Govers. The network helps show where Anita M.A.P. Govers may publish in the future.

Co-authorship network of co-authors of Anita M.A.P. Govers

This figure shows the co-authorship network connecting the top 25 collaborators of Anita M.A.P. Govers. A scholar is included among the top collaborators of Anita M.A.P. Govers 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 Anita M.A.P. Govers. Anita M.A.P. Govers 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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