Eva Schürch

2.6k total citations · 1 hit paper
19 papers, 2.0k citations indexed

About

Eva Schürch is a scholar working on Clinical Psychology, Periodontics and Oral Surgery. According to data from OpenAlex, Eva Schürch has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Psychology, 8 papers in Periodontics and 3 papers in Oral Surgery. Recurrent topics in Eva Schürch's work include Oral microbiology and periodontitis research (7 papers), Psychotherapy Techniques and Applications (4 papers) and Personality Traits and Psychology (4 papers). Eva Schürch is often cited by papers focused on Oral microbiology and periodontitis research (7 papers), Psychotherapy Techniques and Applications (4 papers) and Personality Traits and Psychology (4 papers). Eva Schürch collaborates with scholars based in Switzerland, Germany and Austria. Eva Schürch's co-authors include Niklaus P. Lang, Andrea Mombelli, Wolfgang Lutz, Matthias Berking, Niklaus Stulz, Urs Brägger, Carolyn C. Morf, Michael J. Lambert, S. Cory Harmon and Mitja D. Back and has published in prestigious journals such as Thorax, Journal Of Clinical Periodontology and Assessment.

In The Last Decade

Eva Schürch

19 papers receiving 1.9k citations

Hit Papers

The microbiota associated with successful or failing osse... 1987 2026 2000 2013 1987 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Schürch Switzerland 11 1.5k 791 522 514 234 19 2.0k
Heinrich Wehrbein Germany 26 1.1k 0.7× 171 0.2× 1.3k 2.4× 372 0.7× 93 0.4× 69 2.0k
Binnaz Leblebicioğlu United States 23 668 0.4× 278 0.4× 257 0.5× 220 0.4× 21 0.1× 49 1.3k
Nikolai Attard Malta 16 987 0.6× 333 0.4× 478 0.9× 191 0.4× 42 0.2× 46 1.2k
Gerald M. Bowers United States 24 1.6k 1.1× 1.7k 2.2× 165 0.3× 1.1k 2.1× 17 0.1× 36 2.5k
S. Ross Bryant Canada 18 662 0.4× 206 0.3× 280 0.5× 210 0.4× 36 0.2× 29 1.0k
Stephen J. Chu United States 22 1.2k 0.8× 586 0.7× 1.3k 2.5× 128 0.2× 11 0.0× 86 2.0k
Bhavna Shroff United States 24 612 0.4× 78 0.1× 744 1.4× 574 1.1× 65 0.3× 68 1.8k
Sabine Ruf Germany 29 919 0.6× 141 0.2× 2.2k 4.1× 367 0.7× 33 0.1× 147 3.2k
Orlando Motohiro Tanaka Brazil 22 723 0.5× 64 0.1× 1.0k 2.0× 178 0.3× 62 0.3× 216 1.9k
Ulrike Fritz Germany 23 696 0.5× 77 0.1× 1.1k 2.2× 123 0.2× 96 0.4× 77 1.6k

Countries citing papers authored by Eva Schürch

Since Specialization
Citations

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

Fields of papers citing papers by Eva Schürch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Schürch

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

All Works

19 of 19 papers shown
1.
Jauk, Emanuel, Gabriel Olaru, Eva Schürch, Mitja D. Back, & Carolyn C. Morf. (2022). Validation of the German Five-Factor Narcissism Inventory and Construction of a Brief Form Using Ant Colony Optimization. Assessment. 30(4). 969–997. 9 indexed citations
2.
Allroggen, Marc, et al.. (2018). The Relationship Between Narcissism and Personality Traits of the Five-Factor-Model in Adolescents and Young Adults. Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie. 46(6). 516–522. 10 indexed citations
3.
Morf, Carolyn C., Eva Schürch, Albrecht C. P. Küfner, et al.. (2018). Expanding the nomological net of the pathological narcissism inventory. publish.UP (University of Potsdam). 2 indexed citations
4.
Morf, Carolyn C., Eva Schürch, Albrecht C. P. Küfner, et al.. (2016). Expanding the Nomological Net of the Pathological Narcissism Inventory: German Validation and Extension in a Clinical Inpatient Sample. Assessment. 24(4). 419–443. 74 indexed citations
5.
Schürch, Eva, Wolfgang Lutz, & Jan R. Böhnke. (2009). Identifikation abweichender Antwortmuster im „Fragebogen zur Evaluation von Psychotherapieverläufen” mithilfe der Rasch-Analyse. Zeitschrift für Klinische Psychologie und Psychotherapie. 38(2). 135–144. 1 indexed citations
6.
Lutz, Wolfgang, Eva Schürch, Niklaus Stulz, et al.. (2009). Entwicklung und psychometrische Kennwerte des Fragebogens zur Evaluation von Psychotherapieverläufen (FEP). Diagnostica. 55(2). 106–116. 29 indexed citations
8.
Lutz, Wolfgang, et al.. (2006). The probability of treatment success, failure and duration—what can be learned from empirical data to support decision making in clinical practice?. Clinical Psychology & Psychotherapy. 13(4). 223–232. 74 indexed citations
9.
Lutz, Wolfgang, et al.. (2005). Evaluation und störungsspezifische Rückmeldung des therapeutischen Fortschritts in der Psychotherapie. Verhaltenstherapie. 15(3). 168–175. 14 indexed citations
10.
Budtz–Jørgensen, Esben, et al.. (2001). [Periodontal status among the population of Geneva, Vaud and Neuchâtel].. PubMed. 111(6). 696–700. 1 indexed citations
11.
Bürgin, Walter, Andreas Joss, Beat Wallkamm, et al.. (2001). [Marginal fit of dental restorations and the periodontium in Swiss army recruits].. PubMed. 111(5). 538–44. 2 indexed citations
12.
Tobler, A, Eva Schürch, H. J. Altermatt, & V Im Hof. (1991). Anti-basement membrane antibody disease with severe pulmonary haemorrhage and normal renal function. Thorax. 46(1). 68–70. 18 indexed citations
13.
Tm, Marthaler, et al.. (1991). [Caries prevalence and gingival inflammation in recruits in 1985: the influence of prevention].. PubMed. 101(9). 1119–26. 1 indexed citations
14.
Brägger, Urs, et al.. (1990). The significance of alveolar bone in periodontal disease. Journal Of Clinical Periodontology. 17(6). 379–384. 32 indexed citations
15.
Schürch, Eva, et al.. (1990). Comparison of clinical periodontal parameters with the Community Periodontal Index for Treatment Needs (CPITN) data.. PubMed. 100(4). 408–11. 18 indexed citations
16.
Schürch, Eva, et al.. (1989). [Prosthodontics in cheilognathopalatoschisis patients. Prosthetic bridge care of patients with cheilognathopalatoschisis].. PubMed. 99(4). 434–43. 1 indexed citations
17.
Schürch, Eva, et al.. (1987). [Symptoms of functional disorders in the masticatory system--an epidemiological study].. PubMed. 97(11). 1357–65. 6 indexed citations
18.
Mombelli, Andrea, et al.. (1987). The microbiota associated with successful or failing osseointegrated titanium implants. Oral Microbiology and Immunology. 2(4). 145–151. 1608 indexed citations breakdown →
19.
Brägger, Urs, Eva Schürch, F. A. Gusberti, & Niklaus P. Lang. (1985). Periodontal conditions in adolescents with cleft lip, alveolus and palate following treatment in a co‐ordinated team approach. Journal Of Clinical Periodontology. 12(6). 494–502. 40 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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