Lita A. Freeman

4.2k citations
73 papers · 3.2k indexed · h-index 35
Topics
Cholesterol and Lipid Metabolism (30 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers)Drug Transport and Resistance Mechanisms (15 papers)
Partner nations
United StatesFranceJapan

In The Last Decade

Lita A. Freeman

71 papers receiving 3.2k citations

Peers

Lita A. Freeman
Comparison fields: 5 of 119
  • Surgery 1.5k
  • Molecular Biology 1.3k
  • Endocrinology, Diabetes and Metabolism 783
  • Oncology 585
  • Cancer Research 439
Replace Mary G. Sorci‐Thomas with:
Mary G. Sorci‐Thomas United States
Seongah Han United States
Laurent O. Martinez France
Wilfried Le Goff France
J. Kar Kruijt Netherlands
Deneys R. van der Westhuyzen United States
Jari Metso Finland
Maaike Kockx Australia
Linda A. Gleaves United States
Patrizia Tarugi Italy
Lita A. Freeman relative to Mary G. Sorci‐Thomas United States Mary G. Sorci‐Thomas's profile →
Citations per field
00.5×1.5×
Mary G. Sorci‐Thomas · 1×
Citations per year

Countries citing papers authored by Lita A. Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Lita A. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lita A. Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of Lita A. Freeman. A scholar is included among the top collaborators of Lita A. Freeman 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 Lita A. Freeman. Lita A. Freeman 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 2
2 11
3 14
4 21
5 31
6 21
7 35
8 150
9 7
10 73
11 48
12 37
13 8
14 13
15 21
16 75
17 51
18 82
19 37
20 101

About Lita A. Freeman

Lita A. Freeman is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Surgery, having authored 73 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (30 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers) and Drug Transport and Resistance Mechanisms (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (783 citations), Surgery (1.5k citations) and Cancer Research (439 citations). Lita A. Freeman has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Alan T. Remaley, Silvia Santamarina-Fojo, Alexander Strunnikov, Marcelo Amar, Luis Aragón-Alcaide, Alan T. Remaley, H. Bryan Brewer, Sotirios K. Karathanasis, Herminia González‐Navarro and Denis Sviridov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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