G. Will

809 total citations
8 papers, 688 citations indexed

About

G. Will is a scholar working on Parasitology, Immunology and Insect Science. According to data from OpenAlex, G. Will has authored 8 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Parasitology, 5 papers in Immunology and 4 papers in Insect Science. Recurrent topics in G. Will's work include Vector-borne infectious diseases (8 papers), Toxin Mechanisms and Immunotoxins (5 papers) and Viral Infections and Vectors (3 papers). G. Will is often cited by papers focused on Vector-borne infectious diseases (8 papers), Toxin Mechanisms and Immunotoxins (5 papers) and Viral Infections and Vectors (3 papers). G. Will collaborates with scholars based in Germany. G. Will's co-authors include V. Preac‐Mursic, Erwin Soutschek, Bettina Wilske, Ernie Schwab, S. Jauris-Heipke, Sigrid Jauris, Dieter Rössler, Andreas Hofmann, Ingrid Pradel and Gerhard Wanner and has published in prestigious journals such as Journal of Clinical Microbiology, Infection and Immunity and FEMS Microbiology Letters.

In The Last Decade

G. Will

8 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Will Germany 8 663 486 244 185 104 8 688
S. Jauris-Heipke Germany 11 576 0.9× 428 0.9× 233 1.0× 157 0.8× 62 0.6× 13 604
Quan Lin United States 10 580 0.9× 473 1.0× 231 0.9× 126 0.7× 111 1.1× 12 618
B. Rutti Switzerland 14 615 0.9× 422 0.9× 320 1.3× 172 0.9× 167 1.6× 23 690
Kristin M. Asanovich United States 11 888 1.3× 768 1.6× 254 1.0× 169 0.9× 117 1.1× 13 961
Glenna J. Teltow United States 9 572 0.9× 503 1.0× 227 0.9× 115 0.6× 49 0.5× 9 650
R. C. Johnson United States 4 524 0.8× 406 0.8× 182 0.7× 153 0.8× 48 0.5× 6 562
C M Happ United States 15 646 1.0× 607 1.2× 233 1.0× 224 1.2× 36 0.3× 15 776
S M Chen China 4 843 1.3× 722 1.5× 289 1.2× 132 0.7× 108 1.0× 7 907
C Kodner United States 17 1.1k 1.7× 952 2.0× 305 1.3× 270 1.5× 137 1.3× 19 1.2k
R H Karstens United States 8 418 0.6× 328 0.7× 124 0.5× 134 0.7× 48 0.5× 10 440

Countries citing papers authored by G. Will

Since Specialization
Citations

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

Fields of papers citing papers by G. Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Will

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

All Works

8 of 8 papers shown
1.
Busch, U., G. Will, Cecilia Hizo-Teufel, Bettina Wilske, & V. Preac‐Mursic. (1997). Long-term in vitro cultivation of Borrelia burgdorferi sensu lato strains: influence on plasmid patterns, genome stability and expression of proteins. Research in Microbiology. 148(2). 109–118. 17 indexed citations
2.
Wilske, B, Ulrich Busch, Volker Fingerle, et al.. (1996). Immunological and molecular variability of OspA and OspC. implications forBorrelia vaccine development. Infection. 24(2). 208–212. 71 indexed citations
3.
Will, G., S. Jauris-Heipke, Ernie Schwab, et al.. (1995). Sequence analysis of ospA genes shows homogeneity within Borrelia burgdorferi sensu stricto and Borrelia afzelii strains but reveals major subgroups within the Borrelia garinii species. Medical Microbiology and Immunology. 184(2). 73–80. 78 indexed citations
4.
Jauris-Heipke, S., V. Preac‐Mursic, Dieter Rössler, et al.. (1995). Molecular analysis of genes encoding outer surface protein C (OspC) of Borrelia burgdorferi sensu lato: relationship to ospA genotype and evidence of lateral gene exchange of ospC. Journal of Clinical Microbiology. 33(7). 1860–1866. 87 indexed citations
5.
Jauris-Heipke, S., Renate Fuchs, Andreas Hofmann, et al.. (1993). Molecular characterization of thep100gene ofBorrelia burgdorferistrain PKo. FEMS Microbiology Letters. 114(2). 235–241. 16 indexed citations
6.
Jauris-Heipke, S., Renate Fuchs, M. Motz, et al.. (1993). Genetic heterogenity of the genes coding for the outer surface protein C (OspC) and the flagellin of Borrelia burgdorferi. Medical Microbiology and Immunology. 182(1). 37–50. 83 indexed citations
7.
Wilske, Bettina, V. Preac‐Mursic, Sigrid Jauris, et al.. (1993). Immunological and molecular polymorphisms of OspC, an immunodominant major outer surface protein of Borrelia burgdorferi. Infection and Immunity. 61(5). 2182–2191. 218 indexed citations
8.
Preac‐Mursic, V., Bettina Wilske, Sigrid Jauris, et al.. (1992). Active immunization with pC protein ofBorrelia burgdorferi protects gerbils againstB. burgdorferi infection. Infection. 20(6). 342–349. 118 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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