Hillel Haim

1.3k total citations
29 papers, 942 citations indexed

About

Hillel Haim is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Hillel Haim has authored 29 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Virology, 18 papers in Infectious Diseases and 8 papers in Immunology. Recurrent topics in Hillel Haim's work include HIV Research and Treatment (22 papers), HIV/AIDS drug development and treatment (14 papers) and Immune Cell Function and Interaction (6 papers). Hillel Haim is often cited by papers focused on HIV Research and Treatment (22 papers), HIV/AIDS drug development and treatment (14 papers) and Immune Cell Function and Interaction (6 papers). Hillel Haim collaborates with scholars based in United States, Israel and Norway. Hillel Haim's co-authors include Joseph Sodroski, Liping Wang, Amos Panet, Navid Madani, Amos B. Smith, Joel R. Courter, Amy M. Princiotto, Aemro Kassa, Israel Steiner and Christopher Gu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Virology.

In The Last Decade

Hillel Haim

26 papers receiving 931 citations

Peers

Hillel Haim

VIROL

IMMUN

RNMI

Beatriz Pacheco United States

Judith A. Burger Netherlands

Hua-Xin Liao United States

George M. Shaw United States

Brigitte Boeser‐Nunnink Netherlands

Marlén M. I. Aasa-Chapman United Kingdom

James D. Roser United States

Zelda Euler Netherlands

Anna Sambor United States

Flavia Ferrantelli Italy

Beatriz Pacheco United States

Hillel Haim

743 ×1.1

VIROL

461 ×0.9

371 ×1.3

IMMUN

212 ×0.8

173 ×1.1

RNMI

Citations per year, relative to Hillel Haim Hillel Haim (= 1×) peers Beatriz Pacheco

Countries citing papers authored by Hillel Haim

Since Specialization

Citations

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

Fields of papers citing papers by Hillel Haim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hillel Haim

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

All Works

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20 of 20 papers shown

Xiang, Jinhua, James H. McLinden, Qing Chang, et al.. (2025). Characterization of Serotype-Specific Dengue Virus T-Cell Inhibition. The Journal of Infectious Diseases. 232(5). 1228–1238.

Rahman, Syed A., Guiping Hu, Benjamin W. Darbro, et al.. (2024). Mapping the Evolutionary Space of SARS-CoV-2 Variants to Anticipate Emergence of Subvariants Resistant to COVID-19 Therapeutics. PLoS Computational Biology. 20(6). e1012215–e1012215.

Hu, Guiping, et al.. (2023). A classification algorithm based on dynamic ensemble selection to predict mutational patterns of the envelope protein in HIV-infected patients. Algorithms for Molecular Biology. 18(1). 4–4. 2 indexed citations

Haim, Hillel, et al.. (2022). Sensitive detection of SARS-CoV-2 spike protein using vertically-oriented silicon nanowire array-based biosensor. Sensing and Bio-Sensing Research. 36. 100487–100487. 11 indexed citations

Wu, Li, et al.. (2022). Commonly Elicited Antibodies against the Base of the HIV-1 Env Trimer Guide the Population-Level Evolution of a Structure-Regulating Region in gp41. Journal of Virology. 96(13). e0040622–e0040622. 2 indexed citations

Bohan, Dana, Kai J. Rogers, José A. Aguilar-Briseño, et al.. (2021). Phosphatidylserine receptors enhance SARS-CoV-2 infection. PLoS Pathogens. 17(11). e1009743–e1009743. 75 indexed citations

Yang, Tianbao, et al.. (2020). Key Positions of HIV-1 Env and Signatures of Vaccine Efficacy Show Gradual Reduction of Population Founder Effects at the Clade and Regional Levels. mBio. 11(3). 8 indexed citations

Salimi, Hamid, Michael S. Zhang, Yunxia O’Malley, et al.. (2019). The lipid membrane of HIV-1 stabilizes the viral envelope glycoproteins and modulates their sensitivity to antibody neutralization. Journal of Biological Chemistry. 295(2). 348–362. 46 indexed citations

DeLeon, Orlando, Yunxia O’Malley, Hamid Salimi, et al.. (2017). Accurate predictions of population-level changes in sequence and structural properties of HIV-1 Env using a volatility-controlled diffusion model. PLoS Biology. 15(4). e2001549–e2001549. 13 indexed citations

10.

Haim, Hillel, et al.. (2013). Modeling Virus- and Antibody-Specific Factors to Predict Human Immunodeficiency Virus Neutralization Efficiency. Cell Host & Microbe. 14(5). 547–558. 39 indexed citations

11.

Mao, Youdong, Liping Wang, Christopher Gu, et al.. (2012). Subunit organization of the membrane-bound HIV-1 envelope glycoprotein trimer. Nature Structural & Molecular Biology. 19(9). 893–899. 123 indexed citations

12.

Haim, Hillel, et al.. (2012). Proteolytic Processing of the Human Immunodeficiency Virus Envelope Glycoprotein Precursor Decreases Conformational Flexibility. Journal of Virology. 87(3). 1884–1889. 59 indexed citations

13.

Haim, Hillel, Bettina Strack, Aemro Kassa, et al.. (2011). Contribution of Intrinsic Reactivity of the HIV-1 Envelope Glycoproteins to CD4-Independent Infection and Global Inhibitor Sensitivity. PLoS Pathogens. 7(6). e1002101–e1002101. 101 indexed citations

14.

Wilen, Craig B., Nicholas F. Parrish, Jennifer M. Pfaff, et al.. (2011). Phenotypic and Immunologic Comparison of Clade B Transmitted/Founder and Chronic HIV-1 Envelope Glycoproteins. Journal of Virology. 85(17). 8514–8527. 87 indexed citations

15.

Zhukovsky, Mikhail A., Stéphane Basmaciogullari, Beatriz Pacheco, et al.. (2010). Thermal Stability of the Human Immunodeficiency Virus Type 1 (HIV-1) Receptors, CD4 and CXCR4, Reconstituted in Proteoliposomes. PLoS ONE. 5(10). e13249–e13249. 6 indexed citations

16.

Haim, Hillel, Zhihai Si, Navid Madani, et al.. (2009). Soluble CD4 and CD4-Mimetic Compounds Inhibit HIV-1 Infection by Induction of a Short-Lived Activated State. PLoS Pathogens. 5(4). e1000360–e1000360. 139 indexed citations

17.

Kolodkin‐Gal, Dror, Gideon Zamir, Eli Pikarsky, et al.. (2007). Herpes Simplex Virus Type 1 Preferentially Targets Human Colon Carcinoma: Role of Extracellular Matrix. Journal of Virology. 82(2). 999–1010. 39 indexed citations

18.

Haim, Hillel, Israel Steiner, & Amos Panet. (2007). Time Frames for Neutralization during the Human Immunodeficiency Virus Type 1 Entry Phase, as Monitored in Synchronously Infected Cell Cultures. Journal of Virology. 81(7). 3525–3534. 14 indexed citations

19.

Haim, Hillel, Israel Steiner, & Amos Panet. (2004). Synchronized Infection of Cell Cultures by Magnetically Controlled Virus. Journal of Virology. 79(1). 622–625. 40 indexed citations

20.

Mador, Nurith, et al.. (2003). Transgenic Mouse with the Herpes Simplex Virus Type 1 Latency-Associated Gene: Expression and Function of the Transgene. Journal of Virology. 77(23). 12421–12429. 10 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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