Steve W. Granger

1.7k total citations · 1 hit paper
16 papers, 976 citations indexed

About

Steve W. Granger is a scholar working on Immunology, Infectious Diseases and Social Psychology. According to data from OpenAlex, Steve W. Granger has authored 16 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Infectious Diseases and 2 papers in Social Psychology. Recurrent topics in Steve W. Granger's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Steve W. Granger is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Steve W. Granger collaborates with scholars based in United States, Belgium and Bangladesh. Steve W. Granger's co-authors include Benjamin A. Katchman, Andrew J. Jajack, Benjamin Feldman, Jason Heikenfeld, Carl F. Ware, Mitchell Kronenberg, Georges Leclercq, Timothy L. Denning, Hilde Cheroutre and Alexander Y. Rudensky and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Biotechnology.

In The Last Decade

Steve W. Granger

15 papers receiving 964 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.

Accessing analytes in biofluids for peripheral biochemical monitoring

2019 552 citations Jason Heikenfeld, Andrew J. Jajack et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve W. Granger United States	9	380	317	199	152	102	16	976
Vadim Jucaud United States	21	488 1.3×	222 0.7×	148 0.7×	153 1.0×	26 0.3×	54	1.2k
Jee Won Mok South Korea	16	468 1.2×	67 0.2×	242 1.2×	152 1.0×	89 0.9×	23	1.1k
Xiaofen Mo China	16	91 0.2×	215 0.7×	121 0.6×	467 3.1×	57 0.6×	34	999
Anushree Seth United States	15	568 1.5×	149 0.5×	81 0.4×	379 2.5×	207 2.0×	17	1.0k
Zoe Davies United States	11	571 1.5×	102 0.3×	284 1.4×	136 0.9×	20 0.2×	15	1.3k
Mutsumi Yoshida United States	18	315 0.8×	216 0.7×	148 0.7×	253 1.7×	46 0.5×	23	1.0k
Dieter Manstein United States	21	342 0.9×	87 0.3×	86 0.4×	106 0.7×	165 1.6×	56	3.3k
Siddhesh D. Patil United States	7	288 0.8×	69 0.2×	65 0.3×	624 4.1×	156 1.5×	9	1.1k
Nuo Dong China	17	68 0.2×	82 0.3×	119 0.6×	170 1.1×	29 0.3×	60	969
Hum Chung South Korea	30	235 0.6×	86 0.3×	192 1.0×	403 2.7×	10 0.1×	132	2.8k

Countries citing papers authored by Steve W. Granger

Since Specialization

Citations

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

Fields of papers citing papers by Steve W. Granger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve W. Granger. 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 Steve W. Granger. The network helps show where Steve W. Granger may publish in the future.

Co-authorship network of co-authors of Steve W. Granger

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

All Works

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16 of 16 papers shown

Denes, Amanda, et al.. (2025). Charting Salivary Oxytocin Across an Episode of Naturally Occurring Partnered Sex. Archives of Sexual Behavior. 54(5). 1693–1701. 1 indexed citations

Lucas, Todd, Christopher D. Heaney, Steve W. Granger, et al.. (2025). Culturally targeted messaging and racial equity in SARS-CoV-2 antibody testing by multiplex salivary measurement: Protocol overview of a SeroNet investigation. Brain Behavior & Immunity - Health. 46. 101019–101019.

Wadhwa, Sunil, Angela J. Yoon, Steve W. Granger, et al.. (2023). Detection of SARS-CoV-2 IgG antibodies and inflammatory cytokines in saliva-a pilot study. Journal of Oral Biology and Craniofacial Research. 13(2). 267–271. 7 indexed citations

Denes, Amanda, et al.. (2021). Exploring the role of oxytocin in communication processes: A test of the post sex disclosures model. Communication Monographs. 89(2). 141–164. 1 indexed citations

Riis, Jenna L., et al.. (2020). Correspondence Between Cytomegalovirus Immunoglobulin-G Levels Measured in Saliva and Serum. Frontiers in Immunology. 11. 2095–2095. 3 indexed citations

Sakkas, Denny, Colin M. Howles, Leslie Atkinson, et al.. (2020). A multi-centre international study of salivary hormone oestradiol and progesterone measurements in ART monitoring. Reproductive BioMedicine Online. 42(2). 421–428. 11 indexed citations

Heikenfeld, Jason, et al.. (2019). Accessing analytes in biofluids for peripheral biochemical monitoring. Nature Biotechnology. 37(4). 407–419. 552 indexed citations breakdown →

Lyman, Michael A., Anjuli M. Timmer, Christine P. Stewart, et al.. (2018). A bispecific antibody that targets IL-6 receptor and IL-17A for the potential therapy of patients with autoimmune and inflammatory diseases. Journal of Biological Chemistry. 293(24). 9326–9334. 24 indexed citations

Pisanic, Nora, Samir K. Saha, Alain Labrique, et al.. (2017). Development of an oral fluid immunoassay to assess past and recent hepatitis E virus (HEV) infection. Journal of Immunological Methods. 448. 1–8. 11 indexed citations

10.

Taylor, Marcus K., et al.. (2015). Measuring nerve growth factor in saliva by immunoassay: A cautionary note. Psychoneuroendocrinology. 63. 235–237. 3 indexed citations

11.

Denning, Timothy L., Steve W. Granger, Daniel Mucida, et al.. (2007). Mouse TCRαβ+CD8αα Intraepithelial Lymphocytes Express Genes That Down-Regulate Their Antigen Reactivity and Suppress Immune Responses. The Journal of Immunology. 178(7). 4230–4239. 123 indexed citations

12.

Cohavy, Offer, et al.. (2004). LIGHT Expression by Mucosal T Cells May Regulate IFN-γ Expression in the Intestine. The Journal of Immunology. 173(1). 251–258. 41 indexed citations

13.

Granger, Steve W., et al.. (2003). LIGHT–HVEM signaling and the regulation of T cell-mediated immunity. Cytokine & Growth Factor Reviews. 14(3-4). 289–296. 110 indexed citations

14.

Granger, Steve W., et al.. (2001). Genomic Characterization of LIGHT Reveals Linkage to an Immune Response Locus on Chromosome 19p13.3 and Distinct Isoforms Generated by Alternate Splicing or Proteolysis. The Journal of Immunology. 167(9). 5122–5128. 71 indexed citations

15.

Granger, Steve W. & Carl F. Ware. (2001). Turning on LIGHT. Journal of Clinical Investigation. 108(12). 1741–1742. 3 indexed citations

16.

Janossy, George, Luis F. Montaño, Warwick Selby, et al.. (1982). T cell subset abnormalities in tissue lesions developing during autoimmune disorders, viral infection, and graft-vs.-host disease.. PubMed. 2(3 Suppl). 42S–56S. 15 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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