Silke Pawils

115 total papers · 934 total citations
65 papers, 522 citations indexed

About

Silke Pawils is a scholar working on Clinical Psychology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Silke Pawils has authored 65 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Clinical Psychology, 29 papers in General Health Professions and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Silke Pawils's work include Child Abuse and Trauma (25 papers), Child and Adolescent Health (19 papers) and Child and Adolescent Psychosocial and Emotional Development (16 papers). Silke Pawils is often cited by papers focused on Child Abuse and Trauma (25 papers), Child and Adolescent Health (19 papers) and Child and Adolescent Psychosocial and Emotional Development (16 papers). Silke Pawils collaborates with scholars based in Germany, United Kingdom and Australia. Silke Pawils's co-authors include Franka Metzner, Olga Wlodarczyk, Ingo Schäfer, Annett Lotzin, Ulrike Ravens‐Sieberer, Hans‐Jürgen Rumpf, Fionna Klasen, Babette Renneberg, Philipp Hiller and Sven Barnow and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Addictive Behaviors.

In The Last Decade

Silke Pawils

60 papers receiving 493 citations

Author Peers

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

Author						Papers	Cites
Silke Pawils	378	175	122	73	70	65	522
Franka Metzner	364 1.0×	168 1.0×	53 0.4×	97 1.3×	47 0.7×	67	472
Raghu Raghavan	242 0.6×	106 0.6×	112 0.9×	77 1.1×	42 0.6×	49	447
Maria Melchior	220 0.6×	225 1.3×	96 0.8×	67 0.9×	110 1.6×	39	619
Nida Žemaitienė	229 0.6×	104 0.6×	125 1.0×	80 1.1×	35 0.5×	48	476
Hyun‐Soo Kim	306 0.8×	148 0.8×	79 0.6×	88 1.2×	54 0.8×	37	552
Melissa Santos	242 0.6×	156 0.9×	266 2.2×	70 1.0×	100 1.4×	48	595
Vincent Sezibera	340 0.9×	207 1.2×	68 0.6×	70 1.0×	90 1.3×	41	606
Rupinder Legha	230 0.6×	265 1.5×	100 0.8×	101 1.4×	37 0.5×	33	555
LEE SAVIO BEERS	286 0.8×	234 1.3×	102 0.8×	75 1.0×	58 0.8×	29	507
Nancy J. Smyth	346 0.9×	133 0.8×	50 0.4×	91 1.2×	49 0.7×	30	536

Countries citing papers authored by Silke Pawils

Since Specialization

Citations

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

Fields of papers citing papers by Silke Pawils

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silke Pawils

This figure shows the co-authorship network connecting the top 25 collaborators of Silke Pawils. A scholar is included among the top collaborators of Silke Pawils 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 Silke Pawils. Silke Pawils 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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