Judith Graff

1.4k citations
21 papers · 1.1k · h-index 14

Impact in

  • Hepatology top 0.5%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Viral gastroenteritis research and epidemiology

Papers in

    • Viral gastroenteritis research and epidemiology 18
    • Hepatitis Viruses Studies and Epidemiology 17
    • Hepatitis C virus research 6

Judith Graff

19 papers receiving 1.1k citations

Peers

Judith Graff
Comparison fields: 5 of 44
  • Hepatology 924
  • Infectious Diseases 750
  • Cardiology and Cardiovascular Medicine 294
  • Small Animals 80
  • Epidemiology 200
Replace Edward T. Clayson with:
Edward T. Clayson Thailand
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Citations per field
00.5×9.5×
Edward T. Clayson · 1×
Citations per year

Countries citing papers authored by Judith Graff

Since Specialization
Citations

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

Fields of papers citing papers by Judith Graff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Judith Graff, 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 Judith Graff Line = papers co-authored together Judith Graff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006246
2 2004165
3 2005127
4 200793
5 199474
6 199874
7 199366
8 200458
9 199948
10 199447
11 199530
12 199424
13 199823
14 199715
15 199413
16 199412
17
Detection of hepatitis A virus in a factor VIII preparation by antigen capture/PCR.
199412
18 200310
19 19958
20 20150

About Judith Graff

Judith Graff is a scholar working on Infectious Diseases, Hepatology, Cardiology and Cardiovascular Medicine, Animal Science and Zoology and Epidemiology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (18 papers), Hepatitis Viruses Studies and Epidemiology (17 papers), Viral Infections and Immunology Research (10 papers), Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (4 papers), Animal Virus Infections Studies (4 papers), Virus-based gene therapy research (2 papers) and Veterinary medicine and infectious diseases (1 paper). The work is most often cited by research in Hepatology (924 citations), Infectious Diseases (750 citations), Cardiology and Cardiovascular Medicine (294 citations), Small Animals (80 citations) and Epidemiology (200 citations). Judith Graff has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Suzanne U. Emerson, Hanh Nguyen, Bertram Flehmig, Udana Torian, Robert H. Purcell, Andrea Normann, Marisa St. Claire, Ellie Ehrenfeld, David Stephany and Alicia Brockington. Their work appears in journals such as Journal of Virology, Vox Sanguinis, Journal of Medical Virology, Applied and Environmental Microbiology and Blood Coagulation & Fibrinolysis.

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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