Carolyn Bigbee

1.3k total citations
10 papers, 1.0k citations indexed

About

Carolyn Bigbee is a scholar working on Infectious Diseases, Immunology and Surgery. According to data from OpenAlex, Carolyn Bigbee has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 5 papers in Immunology and 4 papers in Surgery. Recurrent topics in Carolyn Bigbee's work include Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (4 papers) and Infectious Diseases and Tuberculosis (3 papers). Carolyn Bigbee is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (4 papers) and Infectious Diseases and Tuberculosis (3 papers). Carolyn Bigbee collaborates with scholars based in United States, Germany and Denmark. Carolyn Bigbee's co-authors include JoAnne L. Flynn, Philana Ling Lin, Edwin Klein, Carl R. Fuhrman, Saverio Capuano, Amy Myers, Mark Rodgers, Denise E. Kirschner, Dhruv Sud and Heather Grieser and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Carolyn Bigbee

9 papers receiving 999 citations

Peers

Carolyn Bigbee

EPIDE

IMMUN

SURGE

Esterlina V. Tan United States

Keming Yu United States

M. Teresa Coleman United States

Luis F. Barrera Colombia

George A. Kosmiadi Russia

Keith Chervenak United States

Nasiema Allie South Africa

Silvia Ragno United Kingdom

Kamiel Palfliet Belgium

Evelyn Guirado Spain

Esterlina V. Tan United States

Carolyn Bigbee

921 ×1.2

635 ×1.2

EPIDE

391 ×1.0

IMMUN

350 ×1.4

SURGE

154 ×0.8

Citations per year, relative to Carolyn Bigbee Carolyn Bigbee (= 1×) peers Esterlina V. Tan

Countries citing papers authored by Carolyn Bigbee

Since Specialization

Citations

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

Fields of papers citing papers by Carolyn Bigbee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolyn Bigbee

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

All Works

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10 of 10 papers shown

DiFazio, Robert M., Hannah P. Gideon, Pauline Maiello, et al.. (2014). Predicting vaccine efficacy against tuberculosis using immunologic and radiologic markers in the non-human primate model (VAC7P.974). The Journal of Immunology. 192(Supplement_1). 141.19–141.19. 1 indexed citations

Lin, Philana Ling, Jes Dietrich, Esterlina V. Tan, et al.. (2011). The multistage vaccine H56 boosts the effects of BCG to protect cynomolgus macaques against active tuberculosis and reactivation of latent Mycobacterium tuberculosis infection. Journal of Clinical Investigation. 122(1). 303–314. 200 indexed citations

Lin, Philana Ling, Amy Myers, Carolyn Bigbee, et al.. (2010). Tumor necrosis factor neutralization results in disseminated disease in acute and latent Mycobacterium tuberculosis infection with normal granuloma structure in a cynomolgus macaque model. Arthritis & Rheumatism. 62(2). 340–350. 191 indexed citations

Green, Angela M., Joshua T. Mattila, Carolyn Bigbee, et al.. (2010). CD4⁺Regulatory T Cells in a Cynomolgus Macaque Model ofMycobacterium tuberculosisInfection. The Journal of Infectious Diseases. 202(4). 533–541. 77 indexed citations

Lin, Philana Ling, Mark Rodgers, Amy Myers, et al.. (2009). Quantitative Comparison of Active and Latent Tuberculosis in the Cynomolgus Macaque Model. Infection and Immunity. 77(10). 4631–4642. 312 indexed citations

Lin, Philana Ling, Carolyn Bigbee, Jennifer Kerr, et al.. (2008). CD8 T cells are critical for control of acute M. tuberculosis infection in the non‐human primate. The FASEB Journal. 22(S2). 497–497.

Bigbee, Carolyn, et al.. (2007). Abatacept treatment does not exacerbate chronic Mycobacterium tuberculosis infection in mice. Arthritis & Rheumatism. 56(8). 2557–2565. 53 indexed citations

Sud, Dhruv, Carolyn Bigbee, JoAnne L. Flynn, & Denise E. Kirschner. (2006). Contribution of CD8+ T Cells to Control of Mycobacterium tuberculosis Infection. The Journal of Immunology. 176(7). 4296–4314. 122 indexed citations

Bigbee, Carolyn, et al.. (2006). ABATACEPT TREATMENT DOES NOT IMPAIR HOST RESISTANCE TO CHRONIC MYCOBACTERIUM TUBERCULOSIS INFECTION IN MICE. JCR Journal of Clinical Rheumatology. 12(Supplement). S47–S48. 2 indexed citations

10.

Stanker, Larry H., et al.. (1989). An immunoassay for pyrethroids: detection of permethrin in meat. Journal of Agricultural and Food Chemistry. 37(3). 834–839. 59 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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