G. A. Poland

921 total citations · 1 hit paper
7 papers, 533 citations indexed

About

G. A. Poland is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, G. A. Poland has authored 7 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in G. A. Poland's work include Influenza Virus Research Studies (2 papers), Respiratory viral infections research (2 papers) and Asthma and respiratory diseases (2 papers). G. A. Poland is often cited by papers focused on Influenza Virus Research Studies (2 papers), Respiratory viral infections research (2 papers) and Asthma and respiratory diseases (2 papers). G. A. Poland collaborates with scholars based in United States, Netherlands and France. G. A. Poland's co-authors include Jeff A. Sloan, Tait D. Shanafelt, Liselotte N. Dyrbye, Colin P. West, Teresa A. Rummans, Paul J. Novotny, Marc Gurwith, Cornelia L. Dekker, Barbara Law and Robert T. Chen and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Vaccine and Microorganisms.

In The Last Decade

G. A. Poland

6 papers receiving 505 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Career Fit and Burnout Among Academic Faculty

2009 439 citations Tait D. Shanafelt, Colin P. West et al. Archives of Internal Medicine profile →

Peers

G. A. Poland

GHP

PHEOH

GS

SP

CP

Lynne C. Fiscus United States

Carol K. Bates United States

Ellen Cosgrove United States

Charlene M. Dewey United States

Cecilia Gayet France

Stephen Petterson United States

David Ponka Canada

Erica H. Anstey United States

J. Nadine Gracia United States

Allyn Walsh Canada

Lynne C. Fiscus United States

G. A. Poland

541 ×1.6

GHP

238 ×0.9

PHEOH

146 ×0.9

GS

63 ×1.4

SP

119 ×2.8

CP

Citations per year, relative to G. A. Poland G. A. Poland (= 1×) peers Lynne C. Fiscus

Countries citing papers authored by G. A. Poland

Since Specialization

Citations

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

Fields of papers citing papers by G. A. Poland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. A. Poland

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Black, Steven, Barbara Law, Robert T. Chen, et al.. (2021). The critical role of background rates of possible adverse events in the assessment of COVID-19 vaccine safety. Vaccine. 39(19). 2712–2718. 41 indexed citations

2.

Poland, G. A., et al.. (2019). Multi-Level Model to Predict Antibody Response to Influenza Vaccine Using Gene Expression Interaction Network Feature Selection. Microorganisms. 7(3). 79–79. 11 indexed citations

3.

Shanafelt, Tait D., Colin P. West, Jeff A. Sloan, et al.. (2009). Career Fit and Burnout Among Academic Faculty. Archives of Internal Medicine. 169(10). 990–990. 439 indexed citations breakdown →

4.

Elkin, Peter L., Steven H. Brown, E. Andrew Balas, et al.. (2008). Biosurveillance evaluation of SNOMED CT's terminology (BEST Trial): coverage of chief complaints.. PubMed. 136. 797–802. 6 indexed citations

5.

Juhn, Young J., Hirohito Kita, Ryan Smith, et al.. (2006). Childhood asthma and human leukocyte antigen type. Tissue Antigens. 69(1). 38–46. 31 indexed citations

6.

Juhn, Young J., et al.. (2004). Assessment of the association between measles vaccine response and asthma status. Journal of Allergy and Clinical Immunology. 113(2). S49–S49.

7.

Dhiman, Neelam, Inna G. Ovsyannikova, Robert A. Vierkant, et al.. (2003). Lack of association between transporter associated with antigen processing (TAP) and HLA‐DM gene polymorphisms and antibody levels following measles vaccination. European Journal of Immunogenetics. 30(3). 195–200. 5 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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