W. Wolter

1.1k total citations
24 papers, 849 citations indexed

About

W. Wolter is a scholar working on Agronomy and Crop Science, Food Science and Molecular Biology. According to data from OpenAlex, W. Wolter has authored 24 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Agronomy and Crop Science, 7 papers in Food Science and 6 papers in Molecular Biology. Recurrent topics in W. Wolter's work include Milk Quality and Mastitis in Dairy Cows (13 papers), Probiotics and Fermented Foods (7 papers) and Microbial infections and disease research (5 papers). W. Wolter is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (13 papers), Probiotics and Fermented Foods (7 papers) and Microbial infections and disease research (5 papers). W. Wolter collaborates with scholars based in Germany, Mexico and Egypt. W. Wolter's co-authors include M. Zschöck, Abdulwahed Ahmed Hassan, C. Lämmler, Hans-Peter Hamann, Ömer Akineden, Klaus Failing, Claus‐Peter Czerny, Ulrike S. Diesterbeck, Daniel R. Schwarz and Karen Schlez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Veterinary Microbiology.

In The Last Decade

W. Wolter

24 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Wolter Germany 12 490 344 337 202 161 24 849
Jerry R. Roberson United States 13 501 1.0× 350 1.0× 232 0.7× 170 0.8× 138 0.9× 29 818
F. F. Guimarães Brazil 14 374 0.8× 289 0.8× 278 0.8× 232 1.1× 99 0.6× 56 730
Anna Pitkälä Finland 10 682 1.4× 602 1.8× 182 0.5× 213 1.1× 288 1.8× 12 952
S. Corti Switzerland 16 287 0.6× 476 1.4× 365 1.1× 245 1.2× 82 0.5× 43 958
T.E. Besser United States 15 375 0.8× 371 1.1× 470 1.4× 137 0.7× 113 0.7× 20 984
Yi Seok Joo South Korea 17 601 1.2× 228 0.7× 386 1.1× 326 1.6× 109 0.7× 26 1.0k
Veerle Piessens Belgium 13 419 0.9× 391 1.1× 199 0.6× 171 0.8× 154 1.0× 20 650
Oudessa Kerro Dego United States 18 503 1.0× 400 1.2× 146 0.4× 207 1.0× 240 1.5× 47 827
K. Supré Belgium 20 1.0k 2.1× 724 2.1× 328 1.0× 269 1.3× 420 2.6× 32 1.3k
Joanna Koort Finland 18 233 0.5× 563 1.6× 166 0.5× 369 1.8× 113 0.7× 30 890

Countries citing papers authored by W. Wolter

Since Specialization
Citations

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

Fields of papers citing papers by W. Wolter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Wolter

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

All Works

20 of 20 papers shown
1.
Eisenberg, Tobias, Klaus Failing, Manfred Rohde, et al.. (2017). Herd prevalence of Mycobacterium avium ssp. paratuberculosis (MAP) in Hessian dairy herds.. Berliner und Münchener tierärztliche Wochenschrift. 130. 13–20. 3 indexed citations
2.
Eisenberg, Tobias, Klaus Failing, Manfred Rohde, et al.. (2017). Untersuchung zur Verbreitung von Mycobacterium avium ssp. paratuberculosis (MAP) in hessischen Milchviehbeständen. Berliner und Münchener tierärztliche Wochenschrift. 130. 1 indexed citations
3.
Donat, Karsten, Tobias Eisenberg, Karen Schlez, et al.. (2015). Within-herd prevalence thresholds for the detection of Mycobacterium avium subspecies paratuberculosis-positive dairy herds using boot swabs and liquid manure samples. Epidemiology and Infection. 144(2). 413–424. 26 indexed citations
4.
Wolter, W., et al.. (2014). Melkhygiene und Milchqualität in hessischen AMS-Betrieben. Landtechnik. 64(6). 436–438. 2 indexed citations
5.
Eisenberg, Tobias, W. Wolter, Mirjam Lenz, Karen Schlez, & M. Zschöck. (2013). Boot swabs to collect environmental samples from common locations in dairy herds forMycobacterium aviumssp.paratuberculosis(MAP) detection. Journal of Dairy Research. 80(4). 485–489. 28 indexed citations
6.
Wolter, W., et al.. (2013). Isolation and identification of main mastitis pathogens in Mexico. Arquivo Brasileiro de Medicina Veterinária e Zootecnia. 65(2). 377–382. 11 indexed citations
7.
Schwarz, Daniel R., Ariel L. Rivas, S. König, et al.. (2013). CD2/CD21 index: A new marker to evaluate udder health in dairy cows. Journal of Dairy Science. 96(8). 5106–5119. 13 indexed citations
8.
9.
Schwarz, Daniel R., Ulrike S. Diesterbeck, Sven König, et al.. (2011). Microscopic differential cell counts in milk for the evaluation of inflammatory reactions in clinically healthy and subclinically infected bovine mammary glands. Journal of Dairy Research. 78(4). 448–455. 51 indexed citations
10.
Wolter, W., et al.. (2011). Genotyping of Staphylococcus aureus isolated from dairy herds in Mexico. SHILAP Revista de lepidopterología. 21(4). 308–316. 2 indexed citations
11.
Schwarz, Daniel R., Ulrike S. Diesterbeck, S. König, et al.. (2011). Flow cytometric differential cell counts in milk for the evaluation of inflammatory reactions in clinically healthy and subclinically infected bovine mammary glands. Journal of Dairy Science. 94(10). 5033–5044. 81 indexed citations
12.
Schwarz, Daniel R., Ulrike S. Diesterbeck, Klaus Failing, et al.. (2010). Somatic cell counts and bacteriological status in quarter foremilk samples of cows in Hesse, Germany—A longitudinal study. Journal of Dairy Science. 93(12). 5716–5728. 77 indexed citations
13.
El-Sayed, Amr, Abdulwahed Ahmed Hassan, Amir Abdulmawjood, et al.. (2009). Evaluation of three molecular methods of repetitive element loci for differentiation of Mycobacterium avium subsp. paratuberculosis (MAP). The Journal of Microbiology. 47(3). 253–259. 15 indexed citations
14.
Wolter, W., et al.. (2007). Métodos de detección de la mastitis bovina (Methods of detection of the bovine mastitis). 1 indexed citations
15.
Zschöck, M., et al.. (2005). Pattern of enterotoxin genes seg, seh, sei and sej positive Staphylococcus aureus isolated from bovine mastitis. Veterinary Microbiology. 108(3-4). 243–249. 61 indexed citations
16.
Wolter, W., et al.. (2003). The epidemiology of Staphylococcus aureus infections from subclinical mastitis in dairy cows during a control programme. Veterinary Microbiology. 96(1). 91–102. 93 indexed citations
17.
Wolter, W., et al.. (2002). Milking routine analysis on farms with milking parlours.. 385–390. 1 indexed citations
18.
Wolter, W., et al.. (2001). Evaluation of milking routine by using LactoCorder in combination with cytobacterial analysis of the milk of Holstein Frisian.. 69–74. 1 indexed citations
19.
Petermann, Marcus, et al.. (2001). Automatic milking systems: udder health and milk flow profiles.. 181–184. 5 indexed citations
20.
Zschöck, M., et al.. (2000). Shiga-toxin-producing Escherichia coli in faeces of healthy dairy cows, sheep and goats: prevalence and virulence properties. Letters in Applied Microbiology. 31(3). 203–208. 98 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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