Brian D. Hellmig

1.0k total citations
8 papers, 833 citations indexed

About

Brian D. Hellmig is a scholar working on Virology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Brian D. Hellmig has authored 8 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Virology, 4 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Brian D. Hellmig's work include HIV Research and Treatment (6 papers), Herpesvirus Infections and Treatments (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Brian D. Hellmig is often cited by papers focused on HIV Research and Treatment (6 papers), Herpesvirus Infections and Treatments (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Brian D. Hellmig collaborates with scholars based in United States, Switzerland and United Kingdom. Brian D. Hellmig's co-authors include J S Culp, Christine Debouck, Soumya S. Ray, Deborah J. Woolf, Stephen C. Harrison, David W. Rodgers, Bruce A. Harris, S.J. Gamblin, Thomas J. Matthews and Raymond W. Sweet and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Brian D. Hellmig

8 papers receiving 813 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian D. Hellmig United States	8	484	415	385	180	125	8	833
Ivo Bláha Czechia	15	358 0.7×	249 0.6×	303 0.8×	65 0.4×	79 0.6×	26	616
Brian N. Kelly United States	7	521 1.1×	431 1.0×	341 0.9×	104 0.6×	88 0.7×	11	862
R.J. Tritch United States	8	616 1.3×	208 0.5×	506 1.3×	150 0.8×	75 0.6×	10	752
Gail Folena-Wasserman United States	8	375 0.8×	257 0.6×	233 0.6×	85 0.5×	303 2.4×	10	718
Kazuya Shimura Japan	15	427 0.9×	359 0.9×	454 1.2×	85 0.5×	245 2.0×	25	948
L Sharmeen United States	12	365 0.8×	780 1.9×	314 0.8×	394 2.2×	167 1.3×	16	1.4k
George Merkel United States	16	860 1.8×	972 2.3×	860 2.2×	167 0.9×	46 0.4×	25	1.4k
Zhufang Li United States	16	204 0.4×	454 1.1×	255 0.7×	168 0.9×	45 0.4×	23	824
Sandrine Opi France	18	857 1.8×	505 1.2×	469 1.2×	339 1.9×	299 2.4×	28	1.1k
Yumiko Adachi United States	8	388 0.8×	465 1.1×	155 0.4×	109 0.6×	300 2.4×	9	815

Countries citing papers authored by Brian D. Hellmig

Since Specialization

Citations

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

Fields of papers citing papers by Brian D. Hellmig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D. Hellmig. 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 Brian D. Hellmig. The network helps show where Brian D. Hellmig may publish in the future.

Co-authorship network of co-authors of Brian D. Hellmig

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

All Works

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8 of 8 papers shown

Kwong, Peter D., Richard T. Wyatt, James E. Robinson, et al.. (1999). Probability Analysis of Variational Crystallization and Its Application to gp120, The Exterior Envelope Glycoprotein of Type 1 Human Immunodeficiency Virus (HIV-1). Journal of Biological Chemistry. 274(7). 4115–4123. 90 indexed citations

Hoog, Susan S., Ward W. Smith, Xiayang Qiu, et al.. (1997). Active Site Cavity of Herpesvirus Proteases Revealed by the Crystal Structure of Herpes Simplex Virus Protease/Inhibitor Complex. Biochemistry. 36(46). 14023–14029. 48 indexed citations

Qiu, Xiayang, Jeffrey S. Culp, Anthony G. DiLella, et al.. (1996). Unique fold and active site in cytomegalovirus protease. Nature. 383(6597). 275–279. 118 indexed citations

Rodgers, David W., S.J. Gamblin, Bruce A. Harris, et al.. (1995). The structure of unliganded reverse transcriptase from the human immunodeficiency virus type 1.. Proceedings of the National Academy of Sciences. 92(4). 1222–1226. 311 indexed citations

Kolson, Dennis L., et al.. (1993). HIV-1 Tat Alters Normal Organization of Neurons and Astrocytes in Primary Rodent Brain Cell Cultures: RGD Sequence Dependence. AIDS Research and Human Retroviruses. 9(7). 677–685. 54 indexed citations

Johansen, Hanne, et al.. (1991). Regulated Expression Allows High Level Production and Secretion of HIV-1 gp120 Envelope Glycoprotein in Drosophila Schneider Cells. Nature Biotechnology. 9(2). 173–177. 74 indexed citations

Ivey-Hoyle, M, J S Culp, Margery A. Chaikin, et al.. (1991). Envelope glycoproteins from biologically diverse isolates of immunodeficiency viruses have widely different affinities for CD4.. Proceedings of the National Academy of Sciences. 88(2). 512–516. 111 indexed citations

Perrella, Frank W., Brian D. Hellmig, & Leila Diamond. (1986). Up regulation of the phorbol ester receptor-protein kinase C in HL-60 variant cells.. PubMed. 46(2). 567–72. 27 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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