T. van der Poll

31 total papers · 11.0k total citations
9 papers, 282 citations indexed

About

T. van der Poll is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, T. van der Poll has authored 9 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in T. van der Poll's work include Urinary Tract Infections Management (1 paper), Conducting polymers and applications (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). T. van der Poll is often cited by papers focused on Urinary Tract Infections Management (1 paper), Conducting polymers and applications (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). T. van der Poll collaborates with scholars based in Netherlands, Gabon and United States. T. van der Poll's co-authors include Gregory C. Welch, Zachary B. Henson, Guillermo C. Bazan, Mischa A. Huson, Martin P. Grobusch, Peter Speelman, Sander J. H. van Deventer, Jan A. Veenstra, Nicole P. Juffermans and Annelies Verbon and has published in prestigious journals such as Journal of the American Chemical Society, Clinical Infectious Diseases and Infection and Immunity.

In The Last Decade

T. van der Poll

9 papers receiving 279 citations

Author Peers

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

Author						Papers	Cites
T. van der Poll	130	108	76	56	27	9	282
Yongjie Sheng	68 0.5×	16 0.1×	59 0.8×	65 1.2×	7 0.3×	17	311
Graham P. Heery	9 0.1×	147 1.4×	34 0.4×	60 1.1×	57 2.1×	9	324
Monica Costantini	16 0.1×	29 0.3×	10 0.1×	20 0.4×	22 0.8×	8	329
Nguyen Thuy Hang	94 0.7×	16 0.1×	10 0.1×	67 1.2×	4 0.1×	14	267
Chunlin Li	70 0.5×	9 0.1×	37 0.5×	76 1.4×	6 0.2×	17	266
Yan Qiu	43 0.3×	11 0.1×	72 0.9×	17 0.3×	9 0.3×	16	262
Suhaas Gupta	98 0.8×	18 0.2×	72 0.9×	38 0.7×	2 0.1×	18	315
Lingyi Zheng	37 0.3×	5 0.0×	56 0.7×	119 2.1×	20 0.7×	27	331
Rafael Ceña‐Diez	6 0.0×	103 1.0×	69 0.9×	78 1.4×	38 1.4×	22	317
Andrew A. Kennedy	19 0.1×	15 0.1×	16 0.2×	79 1.4×	44 1.6×	16	274

Countries citing papers authored by T. van der Poll

Since Specialization

Citations

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

Fields of papers citing papers by T. van der Poll

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. van der Poll. 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 T. van der Poll. The network helps show where T. van der Poll may publish in the future.

Co-authorship network of co-authors of T. van der Poll

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