Linda G. Baum

14.2k total citations · 4 hit papers
101 papers, 11.8k citations indexed

About

Linda G. Baum is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Linda G. Baum has authored 101 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Immunology, 59 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Linda G. Baum's work include Galectins and Cancer Biology (74 papers), Glycosylation and Glycoproteins Research (36 papers) and Toxin Mechanisms and Immunotoxins (19 papers). Linda G. Baum is often cited by papers focused on Galectins and Cancer Biology (74 papers), Glycosylation and Glycoproteins Research (36 papers) and Toxin Mechanisms and Immunotoxins (19 papers). Linda G. Baum collaborates with scholars based in United States, France and United Kingdom. Linda G. Baum's co-authors include Nancy L. Perillo, Karen E. Pace, Mabel Pang, James C. Paulson, Jeffrey J. Seilhamer, Jiale He, J. Couceiro, Fu‐Tong Liu, Julie Nguyen and Marisa Galvan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Linda G. Baum

101 papers receiving 11.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Apoptosis of T cells mediated by galectin-1

1995 912 citations Karen E. Pace, Linda G. Baum et al. profile →
Molecular Basis for the Generation in Pigs of Influenza A Viruses with Pandemic Potential

1998 804 citations Toshihiro Ito, J. Couceiro et al. Journal of Virology profile →
Galectins: versatile modulators of cell adhesion, cell proliferation, and cell death

1998 545 citations Linda G. Baum et al. profile →
Differential glycosylation of TH1, TH2 and TH-17 effector cells selectively regulates susceptibility to cell death

2007 521 citations Linda G. Baum et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linda G. Baum United States	59	8.7k	6.6k	1.8k	1.6k	801	101	11.8k
Ara G. Hovanessian France	66	5.4k 0.6×	8.2k 1.2×	1.9k 1.0×	2.0k 1.3×	1.6k 2.0×	205	13.5k
P. Rod Dunbar New Zealand	56	9.0k 1.0×	2.9k 0.4×	2.1k 1.1×	2.4k 1.6×	792 1.0×	159	12.8k
Laurence A. Lasky United States	53	3.8k 0.4×	6.1k 0.9×	1.3k 0.7×	1.2k 0.8×	784 1.0×	86	11.4k
Edgar Schmitt Germany	64	12.8k 1.5×	4.4k 0.7×	1.8k 1.0×	2.6k 1.7×	569 0.7×	192	17.9k
Katsumi Maenaka Japan	44	3.1k 0.4×	3.1k 0.5×	1.2k 0.7×	621 0.4×	664 0.8×	191	7.2k
Karl‐Heinz Wiesmüller Germany	46	3.3k 0.4×	2.7k 0.4×	1.0k 0.6×	575 0.4×	595 0.7×	159	6.7k
Yoshio Koyanagi Japan	55	6.0k 0.7×	3.1k 0.5×	2.1k 1.2×	1.3k 0.8×	3.7k 4.6×	222	12.8k
Philip J. Barr United States	40	1.6k 0.2×	4.9k 0.7×	1.0k 0.6×	858 0.5×	1.2k 1.5×	82	8.7k
Lee Ratner United States	64	7.1k 0.8×	4.9k 0.7×	2.4k 1.3×	2.0k 1.3×	5.4k 6.8×	300	17.5k
Ruurd Torensma Netherlands	45	5.6k 0.6×	3.2k 0.5×	1.6k 0.8×	1.5k 1.0×	1.3k 1.6×	135	10.1k

Countries citing papers authored by Linda G. Baum

Since Specialization

Citations

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

Fields of papers citing papers by Linda G. Baum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda G. Baum. 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 Linda G. Baum. The network helps show where Linda G. Baum may publish in the future.

Co-authorship network of co-authors of Linda G. Baum

This figure shows the co-authorship network connecting the top 25 collaborators of Linda G. Baum. A scholar is included among the top collaborators of Linda G. Baum 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 Linda G. Baum. Linda G. Baum 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

Miceli, M. Carrie, et al.. (2017). Lectin-binding characterizes the healthy human skeletal muscle glycophenotype and identifies disease-specific changes in dystrophic muscle. Glycobiology. 27(12). 1134–1143. 9 indexed citations

Baum, Linda G., et al.. (2014). Microbeâ€“Host Interactions are Positively and Negatively Regulated by Galectinâ€“Glycan Interactions. Frontiers in Immunology. 5. 284–284. 62 indexed citations

Cabrera, Paula, Mabel Pang, Jamie L. Marshall, et al.. (2012). High Throughput Screening for Compounds That Alter Muscle Cell Glycosylation Identifies New Role for N-Glycans in Regulating Sarcolemmal Protein Abundance and Laminin Binding. Journal of Biological Chemistry. 287(27). 22759–22770. 14 indexed citations

Garner, Omai B., Hector C. Aguilar, Jennifer A. Fulcher, et al.. (2010). Endothelial Galectin-1 Binds to Specific Glycans on Nipah Virus Fusion Protein and Inhibits Maturation, Mobility, and Function to Block Syncytia Formation. PLoS Pathogens. 6(7). e1000993–e1000993. 61 indexed citations

Pang, Mabel, Jiale He, Pauline Johnson, & Linda G. Baum. (2009). CD45-Mediated Fodrin Cleavage during Galectin-1 T Cell Death Promotes Phagocytic Clearance of Dying Cells. The Journal of Immunology. 182(11). 7001–7008. 24 indexed citations

Perone, Marcelo J., Suzanne Bertera, William J. Shufesky, et al.. (2009). Suppression of Autoimmune Diabetes by Soluble Galectin-1. The Journal of Immunology. 182(5). 2641–2653. 80 indexed citations

Bi, Shuguang, et al.. (2008). Structural Features of Galectin-9 and Galectin-1 That Determine Distinct T Cell Death Pathways. Journal of Biological Chemistry. 283(18). 12248–12258. 120 indexed citations

Perone, Marcelo J., Suzanne Bertera, William J. Shufesky, et al.. (2006). Dendritic Cells Expressing Transgenic Galectin-1 Delay Onset of Autoimmune Diabetes in Mice. The Journal of Immunology. 177(8). 5278–5289. 61 indexed citations

Hernandez, Joseph D., Julie Nguyen, Jiale He, et al.. (2006). Galectin-1 Binds Different CD43 Glycoforms to Cluster CD43 and Regulate T Cell Death. The Journal of Immunology. 177(8). 5328–5336. 98 indexed citations

10.

Hsu, Daniel K., et al.. (2006). Galectin-3 Induces Death of Candida Species Expressing Specific β-1,2-Linked Mannans. The Journal of Immunology. 177(7). 4718–4726. 177 indexed citations

11.

Fulcher, Jennifer A., Ernest L. Levroney, Mabel Pang, et al.. (2006). Galectin-1-Matured Human Monocyte-Derived Dendritic Cells Have Enhanced Migration through Extracellular Matrix. The Journal of Immunology. 177(1). 216–226. 98 indexed citations

12.

Hsu, Daniel K., Mabel Pang, C. Fred Brewer, et al.. (2006). Galectin-3 and Galectin-1 Bind Distinct Cell Surface Glycoprotein Receptors to Induce T Cell Death. The Journal of Immunology. 176(2). 778–789. 424 indexed citations

13.

Perone, Marcelo J., Adriana T. Larregina, William J. Shufesky, et al.. (2006). Transgenic Galectin-1 Induces Maturation of Dendritic Cells That Elicit Contrasting Responses in Naive and Activated T Cells. The Journal of Immunology. 176(12). 7207–7220. 49 indexed citations

14.

Hoyer, Katrina K., Mabel Pang, Dorina Gui, et al.. (2004). An Anti-Apoptotic Role for Galectin-3 in Diffuse Large B-Cell Lymphomas. American Journal Of Pathology. 164(3). 893–902. 100 indexed citations

15.

Onami, Thandi M., Laurie E. Harrington, Matthew A. Williams, et al.. (2002). Dynamic Regulation of T Cell Immunity by CD43. The Journal of Immunology. 168(12). 6022–6031. 86 indexed citations

16.

Nguyen, Julie, Douglas P. Evans, Marisa Galvan, et al.. (2001). CD45 Modulates Galectin-1-Induced T Cell Death: Regulation by Expression of Core 2 O -Glycans. The Journal of Immunology. 167(10). 5697–5707. 165 indexed citations

17.

Pace, Karen E., Hejin P. Hahn, Mabel Pang, Julie Nguyen, & Linda G. Baum. (2000). Cutting Edge: CD7 Delivers a Pro-Apoptotic Signal During Galectin-1-Induced T Cell Death. The Journal of Immunology. 165(5). 2331–2334. 190 indexed citations

18.

Ito, Toshihiro, J. Couceiro, Sørge Kelm, et al.. (1998). Molecular Basis for the Generation in Pigs of Influenza A Viruses with Pandemic Potential. Journal of Virology. 72(9). 7367–7373. 804 indexed citations breakdown →

19.

Pace, Karen E. & Linda G. Baum. (1997). Induction of T Lymphocyte Apoptosis: A Novel Function for Galectin-1.. Trends in Glycoscience and Glycotechnology. 9(45). 21–29. 40 indexed citations

20.

Weinstein, Jasminder, et al.. (1994). A Novel Mammalian Protein, p55CDC, Present in Dividing Cells Is Associated with Protein Kinase Activity and Has Homology to the Saccharomyces cerevisiae Cell Division Cycle Proteins Cdc20 and Cdc4. Molecular and Cellular Biology. 14(5). 3350–3363. 43 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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