Eric Hailman

2.6k total citations · 1 hit paper
21 papers, 2.1k citations indexed

About

Eric Hailman is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Eric Hailman has authored 21 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Molecular Biology. Recurrent topics in Eric Hailman's work include Immune Response and Inflammation (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Immune Cell Function and Interaction (3 papers). Eric Hailman is often cited by papers focused on Immune Response and Inflammation (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Immune Cell Function and Interaction (3 papers). Eric Hailman collaborates with scholars based in United States, France and Poland. Eric Hailman's co-authors include Samuel D. Wright, Henri S. Lichenstein, Mark M. Wurfel, Leigh Busse, Michael J. Kelley, David A. Johnson, Mark M. Zukowski, David S. Miller, Bo Yu and Todd Juan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Eric Hailman

21 papers receiving 2.1k citations

Hit Papers

Lipopolysaccharide (LPS)-binding protein accelerates the ... 1994 2026 2004 2015 1994 200 400 600
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.

  1. Lipopolysaccharide (LPS)-binding protein accelerates the binding of LPS to CD14.
    1994 632 citations Eric Hailman, Henri S. Lichenstein et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Hailman United States 16 1.4k 525 369 293 201 21 2.1k
Steven R. Leong United States 17 1.4k 1.0× 775 1.5× 323 0.9× 350 1.2× 340 1.7× 25 2.3k
Alain Haziot United States 24 2.3k 1.6× 553 1.1× 585 1.6× 285 1.0× 198 1.0× 42 3.0k
Jean da Silva Correia United States 20 1.4k 1.0× 1.1k 2.1× 346 0.9× 249 0.8× 224 1.1× 23 2.5k
Katrin Soldau United States 19 2.0k 1.4× 832 1.6× 471 1.3× 411 1.4× 133 0.7× 30 2.8k
Norbert Lamping Germany 18 907 0.6× 484 0.9× 313 0.8× 206 0.7× 137 0.7× 24 1.5k
Louis Shamel United States 10 2.2k 1.5× 644 1.2× 612 1.7× 280 1.0× 150 0.7× 13 2.9k
Ulrich F. Schade Germany 25 1.4k 1.0× 657 1.3× 593 1.6× 321 1.1× 135 0.7× 47 2.6k
Felix Stelter Germany 19 1.3k 0.9× 289 0.6× 377 1.0× 185 0.6× 108 0.5× 31 1.8k
Antje Heit Germany 22 2.1k 1.5× 836 1.6× 455 1.2× 183 0.6× 240 1.2× 36 2.9k
Poonam Tewary United States 24 825 0.6× 530 1.0× 360 1.0× 249 0.8× 158 0.8× 36 1.9k

Countries citing papers authored by Eric Hailman

Since Specialization
Citations

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

Fields of papers citing papers by Eric Hailman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Hailman

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Hailman. A scholar is included among the top collaborators of Eric Hailman 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 Eric Hailman. Eric Hailman 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.
Germain, Dominique P., William R. Wilcox, Patrick Deegan, et al.. (2020). MO035HISTORICAL CONTROL ANALYSIS DEMONSTRATES SUPERIOR REDUCTION OF PLASMA GLOBOTRIAOSYLCERAMIDE BY VENGLUSTAT COMPARED WITH PLACEBO OR AGALSIDASE BETA IN CLASSIC FABRY DISEASE PATIENTS. Nephrology Dialysis Transplantation. 35(Supplement_3). 1 indexed citations
2.
Mauer, Michael, Özlem Göker-Alpan, Dominique P. Germain, et al.. (2020). P0062GLUCOSYLCERAMIDE SYNTHASE INHIBITION WITH VENGLUSTAT IN CLASSIC FABRY DISEASE PATIENTS LEADS TO PROGRESSIVE REDUCTION OF ENDOTHELIAL CELL GLOBOTRIAOSYLCERAMIDE INCLUSION VOLUME. Nephrology Dialysis Transplantation. 35(Supplement_3). 1 indexed citations
3.
Tolcher, Anthony W., Susanna V. Ulahannan, Kyriakos P. Papadopoulos, et al.. (2019). Phase 1 dose escalation study of XMT-1536, a novel NaPi2b-targeting antibody-drug conjugate (ADC), in patients (pts) with solid tumors likely to express NaPi2b.. Journal of Clinical Oncology. 37(15_suppl). 3010–3010. 17 indexed citations
4.
Hamilton, Erika, Minal Barve, Aditya Bardia, et al.. (2018). Phase 1 dose escalation of XMT-1522, a novel HER2-targeting antibody-drug conjugate (ADC), in patients (pts) with HER2-expressing breast, lung and gastric tumors.. Journal of Clinical Oncology. 36(15_suppl). 2546–2546. 44 indexed citations
5.
Yu, Hui, Rebecca Mosher, Kimberly Ellison, et al.. (2018). P2.09-24 MERS67 is a Novel anti-NaPi2b Antibody and Demonstrates Differential Expression Patterns in Lung Cancer Histologic Subtypes. Journal of Thoracic Oncology. 13(10). S770–S770. 4 indexed citations
6.
Modur, Vijay, Eric Hailman, & J. Carl Barrett. (2012). Evidence-Based Laboratory Medicine in Oncology Drug Development: From Biomarkers to Diagnostics. Clinical Chemistry. 59(1). 102–109. 7 indexed citations
7.
Myers, Kelly S., James H.F. Rudd, Eric Hailman, et al.. (2012). Correlation Between Arterial FDG Uptake and Biomarkers in Peripheral Artery Disease. JACC. Cardiovascular imaging. 5(1). 38–45. 43 indexed citations
8.
Chen, Zhu, Marina Ichetovkin, Marc M. Kurtz, et al.. (2010). Cholesterol in human atherosclerotic plaque is a marker for underlying disease state and plaque vulnerability. Lipids in Health and Disease. 9(1). 61–61. 54 indexed citations
9.
Hailman, Eric & Paul M. Allen. (2005). Inefficient Cell Spreading and Cytoskeletal Polarization by CD4+CD8+ Thymocytes: Regulation by the Thymic Environment. The Journal of Immunology. 175(8). 4847–4857. 5 indexed citations
10.
Hailman, Eric, Richard Burack, Andréy S. Shaw, Michael L. Dustin, & Paul M. Allen. (2002). Immature CD4+CD8+ Thymocytes Form a Multifocal Immunological Synapse with Sustained Tyrosine Phosphorylation. Immunity. 16(6). 839–848. 112 indexed citations
11.
Yu, Bo, Eric Hailman, & Samuel D. Wright. (1997). Lipopolysaccharide binding protein and soluble CD14 catalyze exchange of phospholipids.. Journal of Clinical Investigation. 99(2). 315–324. 192 indexed citations
12.
Hailman, Eric, et al.. (1996). Neutralization and Transfer of Lipopolysaccharide by Phospholipid Transfer Protein. Journal of Biological Chemistry. 271(21). 12172–12178. 156 indexed citations
13.
Hailman, Eric, Thierry Vasselon, M Kelley, et al.. (1996). Stimulation of macrophages and neutrophils by complexes of lipopolysaccharide and soluble CD14. The Journal of Immunology. 156(11). 4384–4390. 174 indexed citations
14.
Juan, Todd, Eric Hailman, Michael J. Kelley, Samuel D. Wright, & Henri S. Lichenstein. (1995). Identification of a Domain in Soluble CD14 Essential for Lipopolysaccharide (LPS) Signaling but Not LPS Binding. Journal of Biological Chemistry. 270(29). 17237–17242. 57 indexed citations
15.
Kusunoki, Takashi, Eric Hailman, Todd Juan, Henri S. Lichenstein, & Samuel D. Wright. (1995). Molecules from Staphylococcus aureus that bind CD14 and stimulate innate immune responses.. The Journal of Experimental Medicine. 182(6). 1673–1682. 149 indexed citations
16.
Juan, Todd, Michael J. Kelley, David A. Johnson, et al.. (1995). Soluble CD14 Truncated at Amino Acid 152 Binds Lipopolysaccharide (LPS) and Enables Cellular Response to LPS. Journal of Biological Chemistry. 270(3). 1382–1387. 69 indexed citations
17.
Juan, Todd, Eric Hailman, Michael J. Kelley, et al.. (1995). Identification of a Lipopolysaccharide Binding Domain in CD14 between Amino Acids 57 and 64. Journal of Biological Chemistry. 270(10). 5219–5224. 102 indexed citations
18.
Wurfel, Mark M., Eric Hailman, & Samuel D. Wright. (1995). Soluble CD14 acts as a shuttle in the neutralization of lipopolysaccharide (LPS) by LPS-binding protein and reconstituted high density lipoprotein.. The Journal of Experimental Medicine. 181(5). 1743–1754. 220 indexed citations
19.
Hailman, Eric, Henri S. Lichenstein, Mark M. Wurfel, et al.. (1994). Lipopolysaccharide (LPS)-binding protein accelerates the binding of LPS to CD14.. The Journal of Experimental Medicine. 179(1). 269–277. 632 indexed citations breakdown →
20.
Gelman, Irwin H., Jianzhi Zhang, Eric Hailman, Hidesaburô Hanafusa, & Stephen S. Morse. (1992). Identification and Evaluation of New Primer Sets for the Detection of Lentivirus Proviral DNA. AIDS Research and Human Retroviruses. 8(12). 1981–1989. 18 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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