Leela Goodspeed

1.2k total citations
24 papers, 956 citations indexed

About

Leela Goodspeed is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Leela Goodspeed has authored 24 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 9 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Leela Goodspeed's work include Adipokines, Inflammation, and Metabolic Diseases (17 papers), Atherosclerosis and Cardiovascular Diseases (7 papers) and Adipose Tissue and Metabolism (4 papers). Leela Goodspeed is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (17 papers), Atherosclerosis and Cardiovascular Diseases (7 papers) and Adipose Tissue and Metabolism (4 papers). Leela Goodspeed collaborates with scholars based in United States, Australia and Poland. Leela Goodspeed's co-authors include Shari Wang, Kevin D. O’Brien, Alan Chait, Savitha Subramanian, Laura J. den Hartigh, Mohamed Omer, Jin Kyu Kim, Tomasz Wietecha, Yilei Ding and Chang Yeop Han and has published in prestigious journals such as PLoS ONE, Circulation Research and Scientific Reports.

In The Last Decade

Leela Goodspeed

24 papers receiving 947 citations

Peers

Leela Goodspeed
Comparison fields: 5 of 78
  • Epidemiology 401
  • Molecular Biology 318
  • Physiology 287
  • Immunology 183
  • Surgery 180
Replace Sanshiro Tateya with:
Sanshiro Tateya United States
William Lagakos United States
Po‐Shiuan Hsieh Taiwan
Nikolaos Dedousis United States
Yong‐Hyun Han South Korea
Yonggang Lu China
Kyong Hye Joung South Korea
Shi‐Young Park South Korea
Laia Salvadó Spain
Fawaz Alzaïd France
Sanshiro Tateya United States View profile →
Citations per field, relative to Leela Goodspeed
Leela Goodspeed · 1×
Citations per year, relative to Leela Goodspeed
Leela Goodspeed · 1×

Countries citing papers authored by Leela Goodspeed

Since Specialization
Citations

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

Fields of papers citing papers by Leela Goodspeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leela Goodspeed

This figure shows the co-authorship network connecting the top 25 collaborators of Leela Goodspeed. A scholar is included among the top collaborators of Leela Goodspeed 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 Leela Goodspeed. Leela Goodspeed 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
# Work Indexed citations
1 5
2 43
3 4
4 12
5 64
6 23
7 6
8 27
9 11
10 34
11 97
12 35
13 8
14 60
15 33
16 27
17 20
18 199
19 8
20 24

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026