Jan M. Werre

1.2k total citations
10 papers, 1.0k citations indexed

About

Jan M. Werre is a scholar working on Pediatrics, Perinatology and Child Health, Physiology and Oncology. According to data from OpenAlex, Jan M. Werre has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 6 papers in Physiology and 4 papers in Oncology. Recurrent topics in Jan M. Werre's work include Erythrocyte Function and Pathophysiology (6 papers), Neonatal Health and Biochemistry (6 papers) and Global Cancer Incidence and Screening (4 papers). Jan M. Werre is often cited by papers focused on Erythrocyte Function and Pathophysiology (6 papers), Neonatal Health and Biochemistry (6 papers) and Global Cancer Incidence and Screening (4 papers). Jan M. Werre collaborates with scholars based in Netherlands. Jan M. Werre's co-authors include G.J.C.G.M. Bosman, F.L.A. Willekens, Yvonne A. M. Groenen‐Döpp, Bregt Roerdinkholder‐Stoelwinder, Frans Willekens, Annegeet G. van den Bos, Ben de Pauw, J. Kar Kruijt, Theo J.C. van Berkel and Edwin Lasonder and has published in prestigious journals such as Blood, International Journal of Cancer and British Journal of Haematology.

In The Last Decade

Jan M. Werre

10 papers receiving 985 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan M. Werre Netherlands	9	619	341	330	175	145	10	1.0k
Yvonne A. M. Groenen‐Döpp Netherlands	6	506 0.8×	306 0.9×	272 0.8×	158 0.9×	120 0.8×	8	802
Romana Ryšavá Czechia	18	180 0.3×	315 0.9×	233 0.7×	53 0.3×	97 0.7×	73	972
RF Zwaal Netherlands	9	142 0.2×	292 0.9×	128 0.4×	425 2.4×	129 0.9×	10	779
Stefan Wilop Germany	21	126 0.2×	631 1.9×	100 0.3×	377 2.2×	188 1.3×	48	1.1k
Terence T. Casey United States	13	245 0.4×	320 0.9×	60 0.2×	48 0.3×	85 0.6×	22	940
J A Koedam Netherlands	14	100 0.2×	219 0.6×	74 0.2×	572 3.3×	317 2.2×	19	1.1k
Renata Grozovsky United States	13	73 0.1×	245 0.7×	115 0.3×	653 3.7×	117 0.8×	29	1.0k
Ágnes F. Semsei Hungary	19	61 0.1×	316 0.9×	87 0.3×	66 0.4×	36 0.2×	38	788
W.R. Bezwoda South Africa	16	60 0.1×	204 0.6×	95 0.3×	177 1.0×	113 0.8×	41	891
Motoaki Chin Japan	16	52 0.1×	218 0.6×	99 0.3×	93 0.5×	55 0.4×	43	540

Countries citing papers authored by Jan M. Werre

Since Specialization

Citations

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

Fields of papers citing papers by Jan M. Werre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan M. Werre

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

All Works

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10 of 10 papers shown

Bosman, G.J.C.G.M., Edwin Lasonder, Yvonne A. M. Groenen‐Döpp, F.L.A. Willekens, & Jan M. Werre. (2012). The proteome of erythrocyte-derived microparticles from plasma: new clues for erythrocyte aging and vesiculation. Journal of Proteomics. 76. 203–210. 94 indexed citations

Bosman, G.J.C.G.M., et al.. (2010). Susceptibility to hyperosmotic stress–induced phosphatidylserine exposure increases during red blood cell storage. Transfusion. 51(5). 1072–1078. 57 indexed citations

Willekens, F.L.A., Jan M. Werre, Yvonne A. M. Groenen‐Döpp, et al.. (2008). Erythrocyte vesiculation: a self‐protective mechanism?. British Journal of Haematology. 141(4). 549–556. 235 indexed citations

Bosman, G.J.C.G.M., Frans Willekens, & Jan M. Werre. (2005). Erythrocyte Aging: A More than Superficial Resemblance to Apoptosis?. Cellular Physiology and Biochemistry. 16(1-3). 1–8. 203 indexed citations

Willekens, F.L.A., Jan M. Werre, J. Kar Kruijt, et al.. (2004). Liver Kupffer cells rapidly remove red blood cell–derived vesicles from the circulation by scavenger receptors. Blood. 105(5). 2141–2145. 223 indexed citations

Willekens, F.L.A., Bregt Roerdinkholder‐Stoelwinder, Yvonne A. M. Groenen‐Döpp, et al.. (2002). Hemoglobin loss from erythrocytes in vivo results from spleen-facilitated vesiculation. Blood. 101(2). 747–751. 114 indexed citations

Verbeek, André L. M., L.V.A.M. Beex, Jan H. C. L. Hendriks, et al.. (1997). Breast‐cancer mortality in a non‐randomized trial on mammographic screening in women over age 65. International Journal of Cancer. 70(2). 164–168. 2 indexed citations

Beex, L.V.A.M., et al.. (1997). Breast-cancer mortality in a non-randomized trial on mammographic screening in women over age 65. International Journal of Cancer. 70(2). 164–168. 25 indexed citations

Verbeek, André L. M., L.V.A.M. Beex, Jan H. C. L. Hendriks, et al.. (1996). Mammographic screening after the age of 65 years: Evidence for a reduction in breast cancer mortality. International Journal of Cancer. 66(6). 727–731. 45 indexed citations

10.

Werre, Jan M., et al.. (1995). Effect on breast cancer mortality of biennial mammographic screening of women under age 50. International Journal of Cancer. 60(6). 808–811. 11 indexed citations

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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