Katja Van Herle

10 total papers · 1.4k total citations
6 papers, 518 citations indexed

About

Katja Van Herle is a scholar working on Molecular Biology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Katja Van Herle has authored 6 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cognitive Neuroscience and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Katja Van Herle's work include Memory and Neural Mechanisms (2 papers), Thyroid Disorders and Treatments (2 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). Katja Van Herle is often cited by papers focused on Memory and Neural Mechanisms (2 papers), Thyroid Disorders and Treatments (2 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). Katja Van Herle collaborates with scholars based in United States and Germany. Katja Van Herle's co-authors include Andrea Chai, Michael Clare‐Salzler, Carol E. Anderson, Natalie Rasgon, Peter C. Whybrow, Thomas D. Parsons, Dorothy Martinez, D.H.S. Silverman, Katherine Yu and Susanne B. Nicholas and has published in prestigious journals such as Journal of Clinical Investigation, Annals of Internal Medicine and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Katja Van Herle

6 papers receiving 505 citations

Author Peers

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

Author						Papers	Cites
Katja Van Herle	204	157	97	86	79	6	518
Mithra Mahmoudi	75 0.4×	100 0.6×	118 1.2×	71 0.8×	16 0.2×	9	608
Alexandra Heyden	56 0.3×	109 0.7×	44 0.5×	19 0.2×	19 0.2×	9	509
Wendy L. McArdle	110 0.5×	219 1.4×	219 2.3×	26 0.3×	8 0.1×	7	608
Pia A Molinatti	144 0.7×	23 0.1×	19 0.2×	45 0.5×	90 1.1×	7	464
Maxine Daniels	61 0.3×	43 0.3×	55 0.6×	14 0.2×	24 0.3×	9	501
L. Hansen	222 1.1×	39 0.2×	21 0.2×	26 0.3×	35 0.4×	9	487
W. James Gauderman	50 0.2×	44 0.3×	207 2.1×	39 0.5×	15 0.2×	10	575
Bérard Coqueran	44 0.2×	49 0.3×	30 0.3×	53 0.6×	30 0.4×	11	539
Da‐Lin Yao	158 0.8×	29 0.2×	62 0.6×	20 0.2×	16 0.2×	12	543
R. S. Perlstein	178 0.9×	156 1.0×	26 0.3×	7 0.1×	59 0.7×	11	564

Countries citing papers authored by Katja Van Herle

Since Specialization

Citations

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

Fields of papers citing papers by Katja Van Herle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katja Van Herle. 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 Katja Van Herle. The network helps show where Katja Van Herle may publish in the future.

Co-authorship network of co-authors of Katja Van Herle

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Van Herle. A scholar is included among the top collaborators of Katja Van Herle 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 Katja Van Herle. Katja Van Herle 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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