J.T. Tamsma

19 total papers · 400 total citations
11 papers, 339 citations indexed

About

J.T. Tamsma is a scholar working on Surgery, Nephrology and Immunology and Allergy. According to data from OpenAlex, J.T. Tamsma has authored 11 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Nephrology and 3 papers in Immunology and Allergy. Recurrent topics in J.T. Tamsma's work include Chronic Kidney Disease and Diabetes (3 papers), Cell Adhesion Molecules Research (3 papers) and Proteoglycans and glycosaminoglycans research (2 papers). J.T. Tamsma is often cited by papers focused on Chronic Kidney Disease and Diabetes (3 papers), Cell Adhesion Molecules Research (3 papers) and Proteoglycans and glycosaminoglycans research (2 papers). J.T. Tamsma collaborates with scholars based in Netherlands and Denmark. J.T. Tamsma's co-authors include Fokko J. van der Woude, Jan A. Bruijn, H.H.P.J. Lemkes, J. Hermans, J. H. M. Berden, H. H. P. J. Lemkes, J.H. Veerkamp, Jacob van den Born, Karel J.M. Assmann and Jörgen Wieslander and has published in prestigious journals such as Biochemical Journal, Brain Research and Journal of the American Society of Nephrology.

In The Last Decade

J.T. Tamsma

11 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
J.T. Tamsma	108	105	99	63	52	11	339
H. H. P. J. Lemkes	79 0.7×	91 0.9×	107 1.1×	110 1.7×	71 1.4×	13	374
Brigith Willemsen	133 1.2×	52 0.5×	194 2.0×	43 0.7×	38 0.7×	13	383
F. A. Carone	137 1.3×	33 0.3×	68 0.7×	60 1.0×	41 0.8×	8	343
Beverley A. Millward	97 0.9×	71 0.7×	52 0.5×	73 1.2×	42 0.8×	14	340
Toshihiro Okuda	223 2.1×	56 0.5×	61 0.6×	38 0.6×	24 0.5×	15	396
Yasuko Matsuoka	190 1.8×	60 0.6×	74 0.7×	23 0.4×	38 0.7×	14	383
Bingmei Yang	182 1.7×	94 0.9×	39 0.4×	32 0.5×	56 1.1×	13	387
I-K Lee	155 1.4×	51 0.5×	36 0.4×	26 0.4×	76 1.5×	8	372
Xinxin Pang	141 1.3×	34 0.3×	86 0.9×	21 0.3×	53 1.0×	19	330
Javier Varona Santos	140 1.3×	21 0.2×	191 1.9×	50 0.8×	97 1.9×	10	404

Countries citing papers authored by J.T. Tamsma

Since Specialization

Citations

This map shows the geographic impact of J.T. Tamsma'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.T. Tamsma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.T. Tamsma more than expected).

Fields of papers citing papers by J.T. Tamsma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.T. Tamsma

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