C Kodner

1.4k citations
19 papers · 1.3k · h-index 18

Impact in

Papers in

C Kodner

19 papers receiving 1.1k citations

Peers

C Kodner
Comparison fields: 5 of 45
  • Parasitology 1.2k
  • Infectious Diseases 963
  • Insect Science 274
  • Ecology, Evolution, Behavior and Systematics 328
  • Immunology 129
Replace Quan Lin with:
Quan Lin United States
S. Jauris-Heipke Germany
Kristin M. Asanovich United States
Duangporn Phulsuksombati Thailand
Pochaman Watcharapichat Thailand
S M Chen China
M E Schriefer United States
U. Busch Germany
Anneli Bjöersdorff Sweden
C L Spruill United States
C Kodner relative to Quan Lin United States Quan Lin's profile →
Citations per field
00.5×1.5×2.3×
Quan Lin · 1×
Citations per year

Countries citing papers authored by C Kodner

Since Specialization
Citations

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

Fields of papers citing papers by C Kodner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside C Kodner, 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 C Kodner Line = papers co-authored together C Kodner links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1984185
2 1992162
3 1986116
4 1987113
5 1996100
6 198682
7 198863
8 199261
9 199059
10 199353
11 199151
12 199045
13 199841
14 199231
15 201126
16 200122
17 199420
18 199519
19 19902

About C Kodner

C Kodner is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Public Health, Environmental and Occupational Health and Genetics, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (19 papers), Viral Infections and Vectors (13 papers), Dermatological diseases and infestations (8 papers), Vector-Borne Animal Diseases (4 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Mosquito-borne diseases and control (2 papers), Insect symbiosis and bacterial influences (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Parasitology (1.2k citations), Infectious Diseases (963 citations), Insect Science (274 citations), Ecology, Evolution, Behavior and Systematics (328 citations) and Immunology (129 citations). C Kodner has collaborated with scholars based in United States. Frequent co-authors include R C Johnson, Natalia Marek-Trzonkowska, Bernard Berger, Russell C. Johnson, C A Hughes, Lisa Coleman, Jesse L. Goodman, Paul H. Duray, Jeffrey J. Collins and Matthew B. Russell. Their work appears in journals such as Journal of Clinical Microbiology, Infection and Immunity, Antimicrobial Agents and Chemotherapy, Journal of the American Academy of Dermatology and Vector-Borne and Zoonotic Diseases.

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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