Ajit Varki

65.9k citations

502 papers · 50.1k indexed · 13 hit papers · h-index 115

Impact in

Immunology top 0.05%
- Galectins and Cancer Biology
- Immunotherapy and Immune Responses
Immunology and Allergy top 0.05%
- Cell Adhesion Molecules Research

Papers in

Immunology and Allergy 45
- Cell Adhesion Molecules Research 44
Cell Biology 100
- Proteoglycans and glycosaminoglycans research 82

Co-authors: Nissi Varki Takashi Angata Sandra Diaz Paul R. Crocker Pascal Gagneux James C. Paulson Lubor Borsig Hudson H. Freeze
Journals: Journal of Biological Chemistry (77 papers)Proceedings of the National Academy of Sciences (36 papers)Glycobiology (29 papers)Journal of Clinical Investigation (18 papers)Blood (13 papers)
Partner nations: United States Japan United Kingdom

In The Last Decade

Ajit Varki

496 papers receiving 48.9k citations

Hit Papers

13 papers align trajectories log scale

Biological roles of glycans 2016 · 1.8k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2016 Glycobiology
2008 Trends in Molecular Medicine
2007 Nature reviews. Immunology
2007 Blood
2007 Nature
2005 Nature Medicine
2002 Chemical Reviews
2002 Science
2001 Proceedings of the National Academy of Sciences
1999 Essentials of Glycobiology
1994 Proceedings of the National Academy of Sciences
1993 Glycobiology
1992 Glycobiology

Peers

Countries citing papers authored by Ajit Varki

Since Specialization

Citations

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

Fields of papers citing papers by Ajit Varki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ajit Varki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ajit Varki Line = papers co-authored together Ajit Varki links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Dietary intake of the red meat-derived glycan Neu5Gc fuels colorectal cancer through up-regulation of Wnt signaling pathway Cancer Letters ·哲桧垣, 秀樹森, B. Smith, Wallace Martins de Araújo, Julius Monk, Kunio Kawanishi, Karl Willert, Saira Shafiq, João Carlos Machado, Pauline Damer, Nissi Varki, José Andrés Morgado‐Díaz, Heinz Läubli, Adriane R. Todeschini, Ajit Varki, Frederico Alisson‐Silva	2025	7
2	Human-specific evolutionary genetic loss of addition of a single oxygen atom from sialic acids increases hydrophobicity of cells and proteins Carbohydrate Research ·M Kreutzbruck, Karl Pedersen, 刘瑾怡, Sandra Diaz, Ajit Varki, Marit Sletmoen, Raghavendra Kikkeri	2025	1
3	Development and applications of sialoglycan-recognizing probes (SGRPs) with defined specificities: exploring the dynamic mammalian sialoglycome Glycobiology ·Saurabh Srivastava, Andrea Verhagen, Aniruddha Sasmal, Brian R. Wasik, Sandra Diaz, Hai Yu, Barbara A. Bensing, 侯宝剑, Zahra Khedri, Patrick Secrest, Paul M. Sullam, Nissi Varki, Xi Chen, Colin R. Parrish, Ajit Varki	2022	12
4	Simple and practical sialoglycan encoding system reveals vast diversity in nature and identifies a universal sialoglycan-recognizing probe derived from AB5 toxin B subunits Glycobiology ·Aniruddha Sasmal, 侯宝剑, Zahra Khedri, Benjamin P. Kellman, Saurabh Srivastava, Andrea Verhagen, Hai Yu, 博司緒方, Sandra Diaz, Nissi Varki, Travis Beddoe, Adrienne W. Paton, James C. Paton, Xi Chen, Nathan E. Lewis, Ajit Varki	2022	5
5	Evolution of Human-Specific Alleles Protecting Cognitive Function of Grandmothers Molecular Biology and Evolution ·保弘戸浪, 侯宝剑, Troy J. Comi, Andrea Verhagen, Aniruddha Sasmal, Sandra Diaz, Hai Yu, Xi Chen, Joshua M. Akey, Martin Frank, Pascal Gagneux, Ajit Varki	2022	5
6	A Novel Sialylation Site on Neisseria gonorrhoeae Lipooligosaccharide Links Heptose II Lactose Expression with Pathogenicity Infection and Immunity ·Sanjay Ram, Sunita Gulati, Lisa A. Lewis, Кирпичев В. А., Семенова О. Ю., Чирков А. В., Киселев П. Е., Bo Zheng, Rosane B. DeOliveira, George Reed, Andrew D. Cox, Jianjun Li, Frank St. Michael, Jacek Stupak, Xiaohong Su, 保弘戸浪, Philipp Rigoll, Ajit Varki, Peter A. Rice	2018	29
7	Siglec-7 engagement by GBS β-protein suppresses pyroptotic cell death of natural killer cells Proceedings of the National Academy of Sciences ·Jerry J. Fong, Chih‐Ming Tsai, 保弘戸浪, Victor Nizet, Ajit Varki, Jack D. Bui	2018	34
8	Erythrocyte sialoglycoproteins engage Siglec-9 on neutrophils to suppress activation Blood ·Anel Lizcano, Ismael Secundino, Simon Döhrmann, Ross Corriden, C.C. Rohena, Sandra Diaz, Pradipta Ghosh, Lingquan Deng, Victor Nizet, Ajit Varki	2017	83
9	Are humans prone to autoimmunity? Implications from evolutionary changes in hominin sialic acid biology Journal of Autoimmunity ·Ajit Varki	2017	33
10	Loss of CMAH during Human Evolution Primed the Monocyte–Macrophage Lineage toward a More Inflammatory and Phagocytic State The Journal of Immunology ·永阿部, Flavio Schwarz, Khadija Ameen, D. Veirs, Syed R. Ali, Paul T. Martin, Christopher K. Glass, Victor Nizet, Ajit Varki	2017	32
11	New and updated glycoscience-related resources at NCBI Glycobiology ·Ajit Varki	2017	4
12	Paired Siglec receptors generate opposite inflammatory responses to a human‐specific pathogen The EMBO Journal ·Flavio Schwarz, Philipp Rigoll, Shoib Sarwar Siddiqui, Ismael Secundino, Joshua Olson, Nissi Varki, Victor Nizet, Ajit Varki	2017	62
13	Human Xeno-Autoantibodies against a Non-Human Sialic Acid Serve as Novel Serum Biomarkers and Immunotherapeutics in Cancer Cancer Research ·Vered Padler‐Karavani, Nancy Hurtado‐Ziola, Minya Pu, Hai Yu, Shengshu Huang, Saddam Muthana, Harshal A. Chokhawala, Hongzhi Cao, Patrick Secrest, Dinorah Friedmann‐Morvinski, Oded Singer, Darius Ghaderi, Inder M. Verma, Yu-Tsueng Liu, Karen Messer, Xi Chen, Ajit Varki, Richard B. Schwab	2011	112
14	Sexual selection by female immunity against paternal antigens can fix loss of function alleles Proceedings of the National Academy of Sciences ·Darius Ghaderi, Stevan A. Springer, Fang Ma, Miriam Cohen, Patrick Secrest, Rachel E. Taylor, Ajit Varki, Pascal Gagneux	2011	65
15	Carcinoma mucins trigger reciprocal activation of platelets and neutrophils in a murine model of Trousseau syndrome Blood ·Bojing Shao, Mark G. Wahrenbrock, Longbiao Yao, Tovo David, Shaun R. Coughlin, Lijun Xia, Ajit Varki, Rodger P. McEver	2011	117
16	Defining the in vivo function of Siglec-F, a CD33-related Siglec expressed on mouse eosinophils Blood ·Mai Zhang, Takashi Angata, Jae Youn Cho, Marina Miller, David H. Broide, Ajit Varki	2007	150
17	Loss of Siglec expression on T lymphocytes during human evolution Proceedings of the National Academy of Sciences ·Dzung Nguyen, Nancy Hurtado‐Ziola, Pascal Gagneux, Ajit Varki	2006	160
18	Multiple Hepatic Receptors Cooperate to Eliminate Secretory Mucins Aberrantly Entering the Bloodstream: Are Circulating Cancer Mucins the “Tip of the Iceberg”? Cancer Research ·Mark G. Wahrenbrock, Ajit Varki	2006	52
19	Evolution of human-chimpanzee differences in malaria susceptibility: Relationship to human genetic loss of N -glycolylneuraminic acid Proceedings of the National Academy of Sciences ·María Jesús Martín, Julian C. Rayner, Pascal Gagneux, John W. Barnwell, Ajit Varki	2005	142
20	Large-scale sequencing of the CD33-related Siglec gene cluster in five mammalian species reveals rapid evolution by multiple mechanisms Proceedings of the National Academy of Sciences ·Takashi Angata, Elliott H. Margulies, Eric D. Green, Ajit Varki	2004	129

About Ajit Varki

Ajit Varki is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Immunology and Organic Chemistry, having authored 502 papers that have together received 50.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (338 papers), Carbohydrate Chemistry and Synthesis (133 papers), Proteoglycans and glycosaminoglycans research (82 papers), Galectins and Cancer Biology (62 papers), Monoclonal and Polyclonal Antibodies Research (48 papers), Cell Adhesion Molecules Research (44 papers), Genomics and Phylogenetic Studies (26 papers) and Enzyme Production and Characterization (21 papers). The work is most often cited by research in Immunology (13.8k citations), Immunology and Allergy (3.8k citations), Molecular Biology (34.3k citations), Cell Biology (6.8k citations) and Organic Chemistry (11.3k citations). Ajit Varki has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Nissi Varki, Takashi Angata, Sandra Diaz, Paul R. Crocker, Pascal Gagneux, James C. Paulson, Lubor Borsig, Hudson H. Freeze, Xi Chen and Jeffrey D. Esko. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Glycobiology, Journal of Clinical Investigation and Blood.

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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