Warren A. Andiman

4.2k total citations · 1 hit paper
70 papers, 3.1k citations indexed

About

Warren A. Andiman is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Warren A. Andiman has authored 70 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Infectious Diseases, 32 papers in Epidemiology and 18 papers in Virology. Recurrent topics in Warren A. Andiman's work include HIV/AIDS Research and Interventions (24 papers), HIV Research and Treatment (17 papers) and Viral-associated cancers and disorders (14 papers). Warren A. Andiman is often cited by papers focused on HIV/AIDS Research and Interventions (24 papers), HIV Research and Treatment (17 papers) and Viral-associated cancers and disorders (14 papers). Warren A. Andiman collaborates with scholars based in United States, United Kingdom and Netherlands. Warren A. Andiman's co-authors include Allen C. Steere, Stephen E. Malawista, Martin R. Ross, David R. Snydman, Robert E. Shope, George Miller, Roland Eastman, Elijah Paintsil, Eugene D. Shapiro and Thomas E. Starzl and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Warren A. Andiman

69 papers receiving 2.8k citations

Hit Papers

An epidemic of oligoartic... 1977 2026 1993 2009 1977 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Warren A. Andiman United States 28 1.8k 925 797 739 421 70 3.1k
Timothy G. Berger United States 40 827 0.5× 1.2k 1.3× 673 0.8× 731 1.0× 301 0.7× 128 4.5k
Rhoda L. Ashley United States 44 1.9k 1.0× 6.1k 6.6× 496 0.6× 843 1.1× 1.0k 2.5× 89 7.6k
Stacy Selke United States 40 1.9k 1.1× 5.4k 5.9× 474 0.6× 939 1.3× 982 2.3× 108 6.4k
Adrian Mindel Australia 35 1.0k 0.6× 2.9k 3.2× 289 0.4× 233 0.3× 377 0.9× 159 4.5k
Nathalie J. Schmidt United States 36 1.7k 1.0× 2.5k 2.7× 227 0.3× 239 0.3× 245 0.6× 200 4.6k
R Ashley United States 32 612 0.3× 2.5k 2.7× 147 0.2× 440 0.6× 406 1.0× 57 3.4k
Daniel R. Lucey United States 30 1.3k 0.7× 1.1k 1.2× 332 0.4× 224 0.3× 1.3k 3.0× 76 4.2k
Maija Lappalainen Finland 35 1.5k 0.8× 2.0k 2.2× 1.3k 1.7× 308 0.4× 272 0.6× 128 4.0k
Thomas H. Weller United States 33 1.0k 0.6× 3.4k 3.6× 991 1.2× 346 0.5× 285 0.7× 99 5.2k
Anne‐Mette Lebech Denmark 32 1.9k 1.1× 621 0.7× 1.5k 1.9× 124 0.2× 274 0.7× 196 3.9k

Countries citing papers authored by Warren A. Andiman

Since Specialization
Citations

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

Fields of papers citing papers by Warren A. Andiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Warren A. Andiman. 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 Warren A. Andiman. The network helps show where Warren A. Andiman may publish in the future.

Co-authorship network of co-authors of Warren A. Andiman

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

All Works

20 of 20 papers shown
1.
Andiman, Warren A., et al.. (2018). Desire for improved disclosure, community and bonding among young adults with perinatally acquired HIV. Cogent Social Sciences. 4(1). 1463816–1463816. 1 indexed citations
2.
Miller, Michael A., Carla Weibel, Jeffrey S. Kahn, & Warren A. Andiman. (2011). Seroepidemiology of WU polyomavirus among children exposed perinatally to HIV‐1. Journal of Medical Virology. 84(2). 188–193. 8 indexed citations
4.
Christie, C D C, et al.. (2010). Antibiotic resistance among pathogens causing disease in Jamaican children with HIV/AIDS.. PubMed. 59(4). 386–92. 5 indexed citations
5.
Tuttle, Daniel L., Susanna L. Lamers, Steven Pomeroy, et al.. (2002). Increased Replication of Non-Syncytium-Inducing HIV Type 1 Isolates in Monocyte-Derived Macrophages Is Linked to Advanced Disease in Infected Children. AIDS Research and Human Retroviruses. 18(5). 353–362. 63 indexed citations
7.
Andiman, Warren A.. (1999). Association between the biological characteristics of HIV-1, vertical transmission of infection and clinical progression of pediatric disease. Current Opinion in Infectious Diseases. 12(3). 239–244. 2 indexed citations
8.
Andiman, Warren A., B. Joyce Simpson, Christine A. Holtkamp, & Howard A. Pearson. (1996). Invasive Pneumococcal Infections in Children Infected with HIV Are Not Associated with Splenic Dysfunction. AIDS Patient Care and STDs. 10(6). 336–341. 4 indexed citations
9.
Gruendel, Janice M., et al.. (1995). Forgotten children of the AIDS epidemic. DigitalGeorgetown (Georgetown University Library). 44 indexed citations
10.
Andiman, Warren A., et al.. (1994). Invasive bacterial infections in children born to women infected with human immunodeficiency virus type 1. The Journal of Pediatrics. 124(6). 846–852. 45 indexed citations
12.
Brenner, Tanja, George Miller, Warren A. Andiman, et al.. (1991). Relation between HIV-1 syncytium inhibition antibodies and clinical outcome in children. The Lancet. 337(8748). 1001–1005. 12 indexed citations
13.
Andiman, Warren A.. (1991). Organism-specific antibody indices, the cerebrospinal fluid-immunoglubulin index and other tools. The Pediatric Infectious Disease Journal. 10(7). 490–495. 11 indexed citations
14.
Rubinstein, Arye, Rachel Morecki, Bernard A. Silverman, et al.. (1986). Pulmonary disease in children with acquired immune deficiency syndrome and AIDS-related complex. The Journal of Pediatrics. 108(4). 498–503. 141 indexed citations
15.
Pearson, Howard A., et al.. (1986). Low risk of hepatitis B from blood transfusions in thalassemic patients in Connecticut. The Journal of Pediatrics. 108(2). 252–253. 5 indexed citations
16.
Andiman, Warren A., et al.. (1983). Use of Cloned Probes to Detect Epstein-Barr Viral DNA in Tissues of Patients with Neoplastic and Lymphoproliferative Diseases. The Journal of Infectious Diseases. 148(6). 967–977. 86 indexed citations
17.
Ishak, Ricardo, et al.. (1982). Immunehaemadsorption through Fc receptors as a differential routine test in the isolation of herpes virus.. Revista de Microbiologia. 13(3). 244–249. 1 indexed citations
18.
Ritchey, A. Kim, Warren A. Andiman, Sue McIntosh, Brian Berman, & David A. Luce. (1980). Mononucleosis syndrome following granulocyte transfusion in patients with leukemia. The Journal of Pediatrics. 97(2). 267–269. 4 indexed citations
19.
Andiman, Warren A.. (1979). The Epstein-Barr virus and EB virus infections in childhood. The Journal of Pediatrics. 95(2). 29–35. 35 indexed citations
20.
Frank, Arthur L., Warren A. Andiman, & George Miller. (1976). Epstein-Barr Virus and Nonhuman Primates: Natural and Experimental Infection. Advances in cancer research. 23. 171–201. 55 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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