J.M. Wit

47 total papers · 778 total citations
12 papers, 314 citations indexed

About

J.M. Wit is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, J.M. Wit has authored 12 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in J.M. Wit's work include Growth Hormone and Insulin-like Growth Factors (5 papers), Birth, Development, and Health (3 papers) and Sexual Differentiation and Disorders (2 papers). J.M. Wit is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (5 papers), Birth, Development, and Health (3 papers) and Sexual Differentiation and Disorders (2 papers). J.M. Wit collaborates with scholars based in Netherlands, United States and Sweden. J.M. Wit's co-authors include Louis A. A. Kollée, H. L. M. van Straaten, E.T.M. Hille, Wil B. Geven, Antonius Mulder, Mirjam M. van Weissenbruch, Johannes B. van Goudoever, Nynke Weisglas‐Kuperus, Martin J. K. de Kleine and Martina H. Ens‐Dokkum and has published in prestigious journals such as PEDIATRICS, Journal of Endocrinology and Acta Paediatrica.

In The Last Decade

J.M. Wit

12 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
J.M. Wit	173	111	86	61	53	12	314
Anissa Djemli	133 0.8×	141 1.3×	39 0.5×	64 1.0×	37 0.7×	16	354
K Segnestam	65 0.4×	138 1.2×	54 0.6×	51 0.8×	50 0.9×	7	343
D A Fisher	75 0.4×	113 1.0×	123 1.4×	38 0.6×	23 0.4×	16	332
Jaap C. Mulder	217 1.3×	160 1.4×	33 0.4×	79 1.3×	62 1.2×	10	356
Wolfe Z. Polishuk	117 0.7×	91 0.8×	62 0.7×	66 1.1×	11 0.2×	16	332
Jesse Vanbesien	50 0.3×	117 1.1×	38 0.4×	64 1.0×	53 1.0×	26	325
Daniela Leonardi	93 0.5×	252 2.3×	42 0.5×	91 1.5×	43 0.8×	10	358
Lucia Lanciotti	64 0.4×	122 1.1×	47 0.5×	112 1.8×	79 1.5×	18	364
Annalisa Gallizia	50 0.3×	119 1.1×	120 1.4×	83 1.4×	37 0.7×	10	281
Gunnar Möllerström	110 0.6×	93 0.8×	27 0.3×	21 0.3×	27 0.5×	12	352

Countries citing papers authored by J.M. Wit

Since Specialization

Citations

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

Fields of papers citing papers by J.M. Wit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Wit. 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 J.M. Wit. The network helps show where J.M. Wit may publish in the future.

Co-authorship network of co-authors of J.M. Wit

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