Kelli A. McCord

527 total citations
9 papers, 126 citations indexed

About

Kelli A. McCord is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Kelli A. McCord has authored 9 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Kelli A. McCord's work include Glycosylation and Glycoproteins Research (5 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Kelli A. McCord is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Kelli A. McCord collaborates with scholars based in Canada, United States and Taiwan. Kelli A. McCord's co-authors include Matthew S. Macauley, Jason R. Plemel, Jaesoo Jung, Ghazaleh Eskandari‐Sedighi, Abhishek Bhattacherjee, Susmita Sarkar, Chris D. St. Laurent, Alba Silipo, Nathalie Juge and Cristina De Castro and has published in prestigious journals such as Nature Protocols, Frontiers in Immunology and Cell Reports.

In The Last Decade

Kelli A. McCord

8 papers receiving 126 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kelli A. McCord Canada	5	78	35	32	25	20	9	126
Melinda Wojtkiewicz United States	10	88 1.1×	10 0.3×	23 0.7×	7 0.3×	13 0.7×	16	207
Najiba Mammadova United States	9	173 2.2×	8 0.2×	44 1.4×	25 1.0×	29 1.4×	14	255
Yoojin Sohn United States	6	173 2.2×	15 0.4×	8 0.3×	41 1.6×	21 1.1×	8	289
Shuchen Luo United States	7	196 2.5×	29 0.8×	12 0.4×	8 0.3×	8 0.4×	10	283
Kate Young United Kingdom	7	98 1.3×	8 0.2×	13 0.4×	21 0.8×	65 3.3×	10	218
M. Rutter United States	7	149 1.9×	9 0.3×	7 0.2×	11 0.4×	10 0.5×	11	240
Harry C. Tjondro Australia	9	149 1.9×	59 1.7×	3 0.1×	17 0.7×	32 1.6×	9	173
Hannah Whitmore United States	8	71 0.9×	11 0.3×	9 0.3×	8 0.3×	14 0.7×	12	142
Leela Davies United States	3	115 1.5×	32 0.9×	7 0.2×	10 0.4×	27 1.4×	4	139
Joseph W. Guarnieri United States	5	53 0.7×	19 0.5×	3 0.1×	15 0.6×	4 0.2×	7	137

Countries citing papers authored by Kelli A. McCord

Since Specialization

Citations

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

Fields of papers citing papers by Kelli A. McCord

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelli A. McCord. 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 Kelli A. McCord. The network helps show where Kelli A. McCord may publish in the future.

Co-authorship network of co-authors of Kelli A. McCord

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

All Works

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9 of 9 papers shown

Jung, Jaesoo, Edward N. Schmidt, Jhon R. Enterina, et al.. (2025). Understanding the Glycosylation Pathways Involved in the Biosynthesis of the Sulfated Glycan Ligands for Siglecs. ACS Chemical Biology. 20(2). 386–400. 5 indexed citations

Kan, Enci Mary, et al.. (2025). CD7 regulates the persistence of terminally exhausted CD8+ T cells during chronic infection. Cell Reports. 44(10). 116316–116316.

Schmidt, Edward N., Guilherme Meira Lima, Eric Carpenter, et al.. (2024). Measuring carbohydrate recognition profile of lectins on live cells using liquid glycan array (LiGA). Nature Protocols. 20(4). 989–1019. 4 indexed citations

McCord, Kelli A., Chao Wang, Wayne W. Poon, et al.. (2024). Dissecting the Ability of Siglecs To Antagonize Fcγ Receptors. ACS Central Science. 10(2). 315–330. 13 indexed citations

Wang, Chao, Jaroslav Žák, Kelli A. McCord, et al.. (2024). 579 Siglec-7/9 receptors suppress T cell immunity via trogocytosis and represent degradable targets for cancer immunotherapy. Regular and Young Investigator Award Abstracts. A660–A660. 1 indexed citations

Bui, Duong T., Elena N. Kitova, Zhixiong Li, et al.. (2023). Absolute Affinities from Quantitative Shotgun Glycomics Using Concentration-Independent (COIN) Native Mass Spectrometry. ACS Central Science. 9(7). 1374–1387. 12 indexed citations

Laurent, Chris D. St., et al.. (2023). Disrupting Protein Expression with Double-Clicked sgRNA–Cas9 Complexes: A Modular Approach to CRISPR Gene Editing. ACS Chemical Biology. 18(10). 2156–2162. 1 indexed citations

García-Vello, Pilar, Roberta Marchetti, Charlotte Hellmich, et al.. (2021). Siglec-7 Mediates Immunomodulation by Colorectal Cancer-Associated Fusobacterium nucleatum ssp. animalis. Frontiers in Immunology. 12. 744184–744184. 36 indexed citations

Bhattacherjee, Abhishek, Jaesoo Jung, Ghazaleh Eskandari‐Sedighi, et al.. (2021). The CD33 short isoform is a gain-of-function variant that enhances Aβ1–42 phagocytosis in microglia. Molecular Neurodegeneration. 16(1). 19–19. 54 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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