Jennifer Ng

2.6k total citations · 1 hit paper
47 papers, 2.0k citations indexed

About

Jennifer Ng is a scholar working on Immunology, Hematology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jennifer Ng has authored 47 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 12 papers in Hematology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jennifer Ng's work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (15 papers) and Hematopoietic Stem Cell Transplantation (11 papers). Jennifer Ng is often cited by papers focused on T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (15 papers) and Hematopoietic Stem Cell Transplantation (11 papers). Jennifer Ng collaborates with scholars based in United States, Singapore and New Zealand. Jennifer Ng's co-authors include Richard C. Hedstrom, Stephen L. Hoffman, Ruobing Wang, Yupin Charoenvit, Jon Norman, Martha Sedegah, Walter R. Weiss, M Margalith, Kevin Coonan and Trevor R. Jones and has published in prestigious journals such as Science, The Lancet and The Journal of Infectious Diseases.

In The Last Decade

Jennifer Ng

45 papers receiving 1.9k citations

Hit Papers

Induction of Antigen-Specific Cytotoxic T Lymphocytes in ... 1998 2026 2007 2016 1998 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Ng United States 18 1.1k 630 250 228 197 47 2.0k
Elisabeth Förster‐Waldl Austria 27 1.0k 1.0× 356 0.6× 202 0.8× 453 2.0× 121 0.6× 52 2.2k
Oretta Finco Italy 24 1.0k 1.0× 657 1.0× 129 0.5× 554 2.4× 410 2.1× 48 2.2k
William T. Lee United States 28 1.4k 1.3× 528 0.8× 98 0.4× 278 1.2× 318 1.6× 66 2.4k
Ludovica Segat Italy 22 738 0.7× 545 0.9× 191 0.8× 230 1.0× 282 1.4× 107 1.7k
Jean‐Paul Dessaint France 29 1.1k 1.0× 321 0.5× 313 1.3× 325 1.4× 262 1.3× 99 2.9k
Mark S. Pasternack United States 26 1.0k 1.0× 804 1.3× 142 0.6× 731 3.2× 225 1.1× 53 2.9k
Fabienne Anjuère France 30 1.9k 1.8× 769 1.2× 170 0.7× 356 1.6× 207 1.1× 63 3.0k
Mike Recher Switzerland 28 1.7k 1.6× 409 0.6× 90 0.4× 480 2.1× 276 1.4× 84 2.7k
Matthias Tenbusch Germany 28 886 0.8× 491 0.8× 77 0.3× 452 2.0× 422 2.1× 91 2.1k
Jonathan E. Boyson United States 27 2.6k 2.4× 383 0.6× 408 1.6× 311 1.4× 216 1.1× 55 3.2k

Countries citing papers authored by Jennifer Ng

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Ng. A scholar is included among the top collaborators of Jennifer Ng 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 Jennifer Ng. Jennifer Ng 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.
Hurley, Carolyn Katovich & Jennifer Ng. (2018). Continue to focus clinical decision-making on the antigen recognition domain for the present. Human Immunology. 80(1). 79–84. 9 indexed citations
2.
Stritesky, Gretta L., et al.. (2016). Identification of DPB1 Permissive Unrelated Donors Is Highly Likely. Biology of Blood and Marrow Transplantation. 23(1). 81–86. 16 indexed citations
3.
Ng, Jennifer, et al.. (2014). Moesin Expression in Fibrosis in the Mouse Cornea After Sterile Mechanical Trauma or Infection. Cornea. 33(9). 973–980. 5 indexed citations
4.
Lázaro, A. M., et al.. (2013). Human Leukocyte Antigen (HLA) Typing by DNA Sequencing. Methods in molecular biology. 1034. 161–195. 21 indexed citations
5.
Zhu, Hongyuan, et al.. (2013). Moesin as a Key Cytoskeleton Regulator in Corneal Fibrosis. The Ocular Surface. 11(2). 119–132. 4 indexed citations
6.
Nanra, Jasdeep S., Sandra Buitrago, Jennifer Ng, et al.. (2013). Capsular polysaccharides are an important immune evasion mechanism forStaphylococcus aureus. Human Vaccines & Immunotherapeutics. 9(3). 480–487. 97 indexed citations
7.
Hou, Lihua, et al.. (2012). Killer Cell Immunoglobulin-Like Receptors (KIR) Typing by DNA Sequencing. Methods in molecular biology. 882. 431–468. 15 indexed citations
8.
Jalbert, Isabelle, et al.. (2012). Assessing the human lid margin epithelium using impression cytology. Acta Ophthalmologica. 90(7). e547–52. 28 indexed citations
9.
Biggar, Robert J., Gry Poulsen, Mads Melbye, Jennifer Ng, & Heather A. Boyd. (2010). Spontaneous labor onset: is it immunologically mediated?. American Journal of Obstetrics and Gynecology. 202(3). 268.e1–268.e7. 9 indexed citations
10.
Hou, Lihua, Minghua Chen, Bo Jiang, et al.. (2010). Thirty allele-level haplotypes centered around KIR2DL5 define the diversity in an African American population. Immunogenetics. 62(8). 491–498. 12 indexed citations
12.
Spellman, Stephen R., Michelle Setterholm, Martin Maiers, et al.. (2008). Advances in the Selection of HLA-Compatible Donors: Refinements in HLA Typing and Matching over the First 20 Years of the National Marrow Donor Program Registry. Biology of Blood and Marrow Transplantation. 14(9). 37–44. 60 indexed citations
13.
Tang, Ting, Lihua Hou, Minghua Chen, et al.. (2007). HLA Haplotypes in Singapore: A Study of Mothers and Their Cord Blood Units. Human Immunology. 68(5). 430–438. 14 indexed citations
14.
Biggar, Robert J., Jennifer Ng, Michie Hisada, et al.. (2005). Human Leukocyte Antigen Concordance and the Transmission Risk via Breast‐Feeding of Human T Cell Lymphotropic Virus Type I. The Journal of Infectious Diseases. 193(2). 277–282. 44 indexed citations
15.
Levin, Frances R., Suzette M. Evans, Suzanne K. Vosburg, et al.. (2004). Impact of attention-deficit hyperactivity disorder and other psychopathology on treatment retention among cocaine abusers in a therapeutic community. Addictive Behaviors. 29(9). 1875–1882. 97 indexed citations
16.
Ng, Jennifer, et al.. (2003). Nitrous oxide use in first-year students at Auckland University. The Lancet. 361(9366). 1349–1350. 55 indexed citations
17.
Ng, Jennifer & Richard Frith. (2002). Nanging. The Lancet. 360(9330). 384–384. 21 indexed citations
19.
Topalian, Suzanne L., Licia Rivoltini, Marie Mancini, et al.. (1994). Melanoma‐specific CD4+ T lymphocytes recognize human melanoma antigens processed and presented by epstein‐barr virus‐transformed B cells. International Journal of Cancer. 58(1). 69–79. 77 indexed citations
20.
Ng, Jennifer & E. John Orav. (1990). A generalized chain binomial model with application to HIV infection. Mathematical Biosciences. 101(1). 99–119. 16 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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