Gerd Eva Hoff

413 citations
10 papers · 381 indexed · h-index 8

Gerd Eva Hoff

10 papers receiving 342 citations

Peers

Gerd Eva Hoff
Comparison fields: 5 of 69
  • Microbiology 96
  • Endocrinology 74
  • Molecular Medicine 26
  • Epidemiology 102
  • Immunology 57
Replace Alf A. Lindberg with:
Alf A. Lindberg Sweden
C S Mintz United States
L T Callahan United States
Barbara M. Loynds United Kingdom
RP Darveau United States
William Melaugh United States
Belinda Modun United Kingdom
Hazeline Roche-Håkansson United States
Paula I. Rodas Chile
H. Haas Israel
Gerd Eva Hoff relative to Alf A. Lindberg Sweden Alf A. Lindberg's profile →
Citations per field
00.5×3.3×
Alf A. Lindberg · 1×
Citations per year

Countries citing papers authored by Gerd Eva Hoff

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Eva Hoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Gerd Eva Hoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gerd Eva Hoff Line = papers co-authored together Gerd Eva Hoff links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 198730
2 1979189
3 197911
4
Precipitating antibodies against Neisseria meningitidis in normal sera and their possible origin.
19782
5 197834
6 19785
7 197810
8
Neutrophilic granulocytes in acute bacterial infection. Sequential studies on lysozyme, myeloperoxidase and lactoferrin.
197654
9 197512
10 197434

About Gerd Eva Hoff

Gerd Eva Hoff is a scholar working on Microbiology, Clinical Biochemistry, Molecular Medicine, Endocrinology and Epidemiology, having authored 10 papers that have together received 381 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (5 papers), Pneumonia and Respiratory Infections (4 papers), Bacterial Identification and Susceptibility Testing (2 papers), Neonatal and Maternal Infections (2 papers), Glycosylation and Glycoproteins Research (1 paper), Plant Pathogenic Bacteria Studies (1 paper), Bacteriophages and microbial interactions (1 paper) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Microbiology (96 citations), Endocrinology (74 citations), Molecular Medicine (26 citations), Epidemiology (102 citations) and Immunology (57 citations). Gerd Eva Hoff has collaborated with scholars based in Denmark, United States and Switzerland. Frequent co-authors include Niels Høiby, William Egan, Wei‐Hung Lin, A Sutton, I Orskóv, J B Robbins, Frits Ørskov, Rachel Schneerson, Peter Oluf Schiøtz and H Karle. Their work appears in journals such as Infection and Immunity, Apmis, The Journal of Experimental Medicine, Scandinavian Journal of Infectious Diseases and International Journal of Systematic Bacteriology.

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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