Mohammad Zafari

2.7k total citations · 1 hit paper
29 papers, 2.0k citations indexed

About

Mohammad Zafari is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Mohammad Zafari has authored 29 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Molecular Biology. Recurrent topics in Mohammad Zafari's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Immune cells in cancer (8 papers) and T-cell and B-cell Immunology (7 papers). Mohammad Zafari is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Immune cells in cancer (8 papers) and T-cell and B-cell Immunology (7 papers). Mohammad Zafari collaborates with scholars based in United States, Switzerland and Italy. Mohammad Zafari's co-authors include Christopher D. Benjamin, Jeffrey L. Browning, Irene Sizing, Sarah A. Bixler, Fang Qian, Christine Ambrose, Jeffrey S. Thompson, Teresa G. Cachero, Pascal Schneider and Jürg Tschopp and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Mohammad Zafari

29 papers receiving 2.0k 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.

BAFF-R, a Newly Identified TNF Receptor That Specifically Interacts with BAFF

2001 751 citations Jeffrey S. Thompson, Sarah A. Bixler et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Zafari United States	16	1.5k	506	348	323	269	29	2.0k
Claudia Bossen United States	14	1.4k 0.9×	924 1.8×	272 0.8×	266 0.8×	220 0.8×	20	2.2k
Sandra Gardam Australia	15	1.6k 1.0×	379 0.7×	217 0.6×	223 0.7×	433 1.6×	18	2.1k
Atsuo Nakajima Japan	19	1.1k 0.7×	383 0.8×	445 1.3×	178 0.6×	119 0.4×	34	1.8k
Julia Parrish-Novak United States	13	1.1k 0.7×	312 0.6×	309 0.9×	294 0.9×	119 0.4×	14	1.8k
Sharlene Adams United States	16	998 0.7×	525 1.0×	747 2.1×	641 2.0×	111 0.4×	44	2.0k
Terri Davis‐Smith Canada	9	2.3k 1.5×	914 1.8×	521 1.5×	210 0.7×	303 1.1×	9	2.9k
Joan de Jong Netherlands	10	1.0k 0.7×	494 1.0×	372 1.1×	86 0.3×	203 0.8×	12	1.5k
José A. Brieva Spain	24	1.0k 0.7×	348 0.7×	187 0.5×	125 0.4×	79 0.3×	45	1.6k
Sylvie Hertig Switzerland	11	864 0.6×	851 1.7×	325 0.9×	106 0.3×	233 0.9×	11	1.6k
Ulf Korthäuer Germany	14	1.5k 1.0×	286 0.6×	300 0.9×	151 0.5×	93 0.3×	14	1.7k

Countries citing papers authored by Mohammad Zafari

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Zafari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Zafari

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Zafari. A scholar is included among the top collaborators of Mohammad Zafari 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 Mohammad Zafari. Mohammad Zafari 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

Sazinsky, Stephen L., Mohammad Zafari, Boris Klebanov, et al.. (2024). Antibodies Targeting Human or Mouse VSIG4 Repolarize Tumor-Associated Macrophages Providing the Potential of Potent and Specific Clinical Anti-Tumor Response Induced across Multiple Cancer Types. International Journal of Molecular Sciences. 25(11). 6160–6160. 4 indexed citations

Kauffman, Kevin, Denise Manfra, Mohammad Zafari, et al.. (2023). PSGL-1 Blockade Induces Classical Activation of Human Tumor-associated Macrophages. Cancer Research Communications. 3(10). 2182–2194. 8 indexed citations

Sazinsky, Stephen L., Mohammad Zafari, Boris Klebanov, et al.. (2022). Abstract 5613: Targeting VSIG4, a novel macrophage checkpoint, repolarizes suppressive macrophages which induces an inflammatory response in primary cell in vitro assays and fresh human tumor cultures, and inhibits tumor growth in in vivo murine tumor models. Cancer Research. 82(12_Supplement). 5613–5613. 1 indexed citations

Zafari, Mohammad, et al.. (2021). Comparison of the Effect of Dexmedetomidine and Remifentanil on Pain Control After Spinal Surgery: A Double-Blind, Randomized Clinical Trial. Anesthesiology and Pain Medicine. 11(2). e111533–e111533. 11 indexed citations

Zafari, Mohammad, Ryan Phennicie, Boris Klebanov, et al.. (2021). Abstract P105: Targeting VSIG4, a novel macrophage checkpoint, repolarizes suppressive macrophages which induces an inflammatory response in primary cell in vitro assays and fresh human tumor cultures. Molecular Cancer Therapeutics. 20(12_Supplement). P105–P105. 3 indexed citations

Nguyen, Phuong, Mohammad Zafari, Denise Manfra, et al.. (2021). 877 PSGL-1 blocking antibodies repolarize tumor associated macrophages, reduce suppressive myeloid populations and induce inflammation in the tumor microenvironment, leading to suppression of tumor growth. Regular and Young Investigator Award Abstracts. A919–A919. 1 indexed citations

Day, Eric S., Allan D. Capili, Christopher W. Borysenko, Mohammad Zafari, & Adrian Whitty. (2013). Determining the affinity and stoichiometry of interactions between unmodified proteins in solution using Biacore. Analytical Biochemistry. 440(1). 96–107. 15 indexed citations

Sizing, Irene, Véronique Bailly, Patricia McCoon, et al.. (2007). Epitope-Dependent Effect of Anti-Murine TIM-1 Monoclonal Antibodies on T Cell Activity and Lung Immune Responses. The Journal of Immunology. 178(4). 2249–2261. 66 indexed citations

Adkins, Heather B., Caterina Bianco, Susan G. Schiffer, et al.. (2003). Antibody blockade of the Cripto CFC domain suppresses tumor cell growth in vivo. Journal of Clinical Investigation. 112(4). 575–587. 134 indexed citations

10.

Pelletier, Marc R., Jeffrey S. Thompson, Fang Qian, et al.. (2003). Comparison of Soluble Decoy IgG Fusion Proteins of BAFF-R and BCMA as Antagonists for BAFF. Journal of Biological Chemistry. 278(35). 33127–33133. 79 indexed citations

11.

Barrington, Robert A., Olga Pozdnyakova, Mohammad Zafari, Christopher D. Benjamin, & Michael C. Carroll. (2002). B Lymphocyte Memory. The Journal of Experimental Medicine. 196(9). 1189–1200. 110 indexed citations

12.

Runkel, Laura, Michael Karpusas, Darren P. Baker, et al.. (2001). Mapping of IFN-β Epitopes Important for Receptor Binding and Biologic Activation: Comparison of Results Achieved Using Antibody-Based Methods and Alanine Substitution Mutagenesis. Journal of Interferon & Cytokine Research. 21(11). 931–941. 22 indexed citations

13.

Zafari, Mohammad, et al.. (1999). Characterization of Antihuman IFNAR-1 Monoclonal Antibodies: Epitope Localization and Functional Analysis. Journal of Interferon & Cytokine Research. 19(1). 15–26. 39 indexed citations

14.

Gotwals, Philip J., G Chi-Rosso, Sarah Ryan, et al.. (1999). Divalent Cations Stabilize the α1β1 Integrin I Domain. Biochemistry. 38(26). 8280–8288. 31 indexed citations

15.

Baker, Darren P., Adrian Whitty, Mohammad Zafari, et al.. (1998). The Murine Anti-Human Common γ Chain Monoclonal Antibody CP.B8 Blocks the Second Step in the Formation of the Intermediate Affinity IL-2 Receptor. Biochemistry. 37(41). 14337–14349. 5 indexed citations

16.

Mackay, Fabienne, P Bourdon, David Griffiths, et al.. (1997). Cytotoxic activities of recombinant soluble murine lymphotoxin-alpha and lymphotoxin-alpha beta complexes. The Journal of Immunology. 159(7). 3299–3310. 37 indexed citations

17.

Browning, Jeffrey L., Konrad Miatkowski, Irene Sizing, et al.. (1996). Signaling through the lymphotoxin beta receptor induces the death of some adenocarcinoma tumor lines.. The Journal of Experimental Medicine. 183(3). 867–878. 131 indexed citations

18.

Ling, Lei, et al.. (1995). Human Type I Interferon Receptor, IFNAR, Is a Heavily Glycosylated 120-130 kD Membrane Protein. Journal of Interferon & Cytokine Research. 15(1). 55–61. 28 indexed citations

19.

Browning, Jeffrey L., Irene Dougas, Apinya Ngam-ek, et al.. (1995). Characterization of surface lymphotoxin forms. Use of specific monoclonal antibodies and soluble receptors.. The Journal of Immunology. 154(1). 33–46. 136 indexed citations

20.

Nair, B.C., Glen Ford, Vaniambadi S. Kalyanaraman, et al.. (1994). Enzyme immunoassay using native envelope glycoprotein (gp160) for detection of human immunodeficiency virus type 1 antibodies. Journal of Clinical Microbiology. 32(6). 1449–1456. 7 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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