Janet Andersen

76 papers receiving 4.4k citations

Janet Andersen's Hit Papers

Peginterferon Alfa-2a plus Ribavirin versus Interferon Alfa-2a plus Ribavirin for Chronic Hepatitis C in HIV-Coinfected Persons 2004 · 697 citations
6970+9+18Years since publication200400600

Peers

Janet Andersen
Comparison fields: 5 of 132
  • Hepatology 756
  • Virology 282
  • Hematology 603
  • Genetics 514
  • Infectious Diseases 832
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Citations per year

Countries citing papers authored by Janet Andersen

Since Specialization
Citations

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

Fields of papers citing papers by Janet Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Peginterferon Alfa-2a plus Ribavirin versus Interferon Alfa-2a plus Ribavirin for Chronic Hepatitis C in HIV-Coinfected Persons
Hit paper breakdown →
2004697
2
Expression of Apoptosis-Regulating Proteins in Chronic Lymphocytic Leukemia: Correlations With In Vitro and In Vivo Chemoresponses
Hit paper breakdown →
1998556
3 2009413
4 1992268
5
Vascular graft infection: an analysis of sixty-two graft infections in 2411 consecutively implanted synthetic vascular grafts.
1985213
6 2002166
7 2006144
8 1992128
9 2010122
10 1984101
11
Significantly lower P-glycoprotein expression in acute promyelocytic leukemia than in other types of acute myeloid leukemia: immunological, molecular and functional analyses.
199495
12 198994
13 201193
14 200290
15 199588
16 200188
17 199384
18 200168
19 200658
20 200350

About Janet Andersen

Janet Andersen is a scholar working on Hematology, Epidemiology, Oncology, Molecular Biology and Genetics, having authored 76 papers that have together received 4.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Retinoids in leukemia and cellular processes (5 papers), Hepatitis C virus research (5 papers), Cytomegalovirus and herpesvirus research (5 papers), HIV/AIDS Research and Interventions (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Hepatology (756 citations), Virology (282 citations), Hematology (603 citations), Genetics (514 citations) and Infectious Diseases (832 citations). Janet Andersen has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Lauren Komarow, Andrew Zolopa, William G. Powderly, Tun Liu, Marion G. Peters, Kenneth E. Sherman, Evelyn Hogg, Ian Sanne, Raymond T. Chung and Margaret James Koziel. Their work appears in journals such as Blood, The Journal of Infectious Diseases, Journal of Clinical Oncology, HIV Clinical Trials and Cancer.

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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