Han Gerrits

1.9k total citations · 1 hit paper
6 papers, 1.1k citations indexed

About

Han Gerrits is a scholar working on Oncology, Surgery and Genetics. According to data from OpenAlex, Han Gerrits has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Surgery and 2 papers in Genetics. Recurrent topics in Han Gerrits's work include Estrogen and related hormone effects (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Hormonal and reproductive studies (1 paper). Han Gerrits is often cited by papers focused on Estrogen and related hormone effects (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Hormonal and reproductive studies (1 paper). Han Gerrits collaborates with scholars based in Netherlands, United Kingdom and United States. Han Gerrits's co-authors include Peter Weisbeek, L.C. van Loon, J.A. van Pelt, Corné M. J. Pieterse, Saskia C. M. Van Wees, M. Knoester, Jan A. Gossen, Magda A. M. Krajnc-Franken, Ankie Strik and Dorette S. van Ingen Schenau and has published in prestigious journals such as The Plant Cell, Hepatology and Journal of Bone and Mineral Research.

In The Last Decade

Han Gerrits

6 papers receiving 984 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Novel Signaling Pathway Controlling Induced Systemic Resistance in Arabidopsis

1998 852 citations Corné M. J. Pieterse, Saskia C. M. Van Wees et al. The Plant Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Han Gerrits Netherlands	6	828	218	127	123	112	6	1.1k
Jennifer Dahan United States	19	697 0.8×	751 3.4×	93 0.7×	60 0.5×	50 0.4×	40	1.3k
Hui Meng Soo Singapore	10	844 1.0×	1.0k 4.8×	82 0.6×	85 0.7×	67 0.6×	10	1.4k
Adriana Cabral Netherlands	10	582 0.7×	308 1.4×	21 0.2×	184 1.5×	33 0.3×	11	902
Marc J. Curtis United States	10	516 0.6×	516 2.4×	17 0.1×	103 0.8×	41 0.4×	22	865
Jia Fan China	21	481 0.6×	461 2.1×	515 4.1×	21 0.2×	51 0.5×	75	1.2k
Caroline Callot France	15	350 0.4×	412 1.9×	36 0.3×	84 0.7×	65 0.6×	27	719
Lynn M. Hartweck United States	22	620 0.7×	925 4.2×	32 0.3×	89 0.7×	23 0.2×	34	1.3k
Christopher A. Zien United States	8	229 0.3×	348 1.6×	47 0.4×	77 0.6×	116 1.0×	9	725
Chang Seob Kwon South Korea	18	1.1k 1.3×	1.4k 6.4×	24 0.2×	73 0.6×	22 0.2×	26	1.8k

Countries citing papers authored by Han Gerrits

Since Specialization

Citations

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

Fields of papers citing papers by Han Gerrits

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Gerrits

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Lipscomb, Victoria J., et al.. (2018). Health‐related quality of life following surgical attenuation of congenital portosystemic shunts versus healthy controls. Journal of Small Animal Practice. 60(1). 21–26. 23 indexed citations

2.

Gerrits, Han, et al.. (2013). Reversible infertility in a liver receptor homologue-1 (LRH-1)-knockdown mouse model. Reproduction Fertility and Development. 26(2). 293–306. 9 indexed citations

3.

Out, Carolien, Jurre Hageman, Vincent W. Bloks, et al.. (2011). Liver receptor homolog-1 is critical for adequate up-regulation of Cyp7a1 gene transcription and bile salt synthesis during bile salt sequestration. Hepatology. 53(6). 2075–2085. 48 indexed citations

4.

Gerrits, Han, et al.. (2011). Gender-specific increase of bone mass by CART peptide treatment is ovary-dependent. Journal of Bone and Mineral Research. 26(12). 2886–2898. 8 indexed citations

5.

Gerrits, Han, Dorette S. van Ingen Schenau, Ankie Strik, et al.. (2008). Early postnatal lethality and cardiovascular defects in CXCR7‐deficient mice. genesis. 46(5). 235–245. 112 indexed citations

6.

Pieterse, Corné M. J., Saskia C. M. Van Wees, J.A. van Pelt, et al.. (1998). A Novel Signaling Pathway Controlling Induced Systemic Resistance in Arabidopsis. The Plant Cell. 10(9). 1571–1580. 852 indexed citations breakdown →

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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