Linda G. Baum

14.2k citations
101 papers · 11.8k indexed · 4 hit papers · h-index 59
Topics
Galectins and Cancer Biology (74 papers)Glycosylation and Glycoproteins Research (36 papers)Toxin Mechanisms and Immunotoxins (19 papers)

In The Last Decade

Linda G. Baum

101 papers receiving 11.6k citations

Hit Papers

Apoptosis of T cells mediated by galectin-119952026200520151995199819982007250500750

Peers

Linda G. Baum
Comparison fields: 5 of 141
  • Immunology 8.7k
  • Molecular Biology 6.6k
  • Epidemiology 1.8k
  • Oncology 1.6k
  • Infectious Diseases 801
Replace Ara G. Hovanessian with:
Ara G. Hovanessian France
P. Rod Dunbar New Zealand
Katsumi Maenaka Japan
John E. Coligan United States
Ola Blixt Denmark
Yoshio Koyanagi Japan
Lee Ratner United States
Gerd Ritter United States
Peter Van Endert France
Philip J. Barr United States
Linda G. Baum relative to Ara G. Hovanessian France Ara G. Hovanessian's profile →
Citations per field
00.5×2.8×
Ara G. Hovanessian · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 10
2 62
3 24
4 80
5 104
6 61
7 98
8 177
9 98
10 424
11 49
12 73
13 100
14 86
15 165
16 190
17 40
18
Apoptosis of T cells mediated by galectin-1breakdown →
912
19 226
20 43

About Linda G. Baum

Linda G. Baum is a scholar working on Immunology, Molecular Biology and Oncology, having authored 101 papers that have together received 11.8k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (74 papers), Glycosylation and Glycoproteins Research (36 papers) and Toxin Mechanisms and Immunotoxins (19 papers). The work is most often cited by research in Immunology (8.7k citations), Molecular Biology (6.6k citations) and Agronomy and Crop Science (669 citations). Linda G. Baum has collaborated with scholars based in United States, France and United Kingdom. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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