Jennifer La

1.4k total citations
66 papers, 733 citations indexed

About

Jennifer La is a scholar working on Oncology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jennifer La has authored 66 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 19 papers in Infectious Diseases and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jennifer La's work include COVID-19 Clinical Research Studies (14 papers), SARS-CoV-2 and COVID-19 Research (12 papers) and Venous Thromboembolism Diagnosis and Management (9 papers). Jennifer La is often cited by papers focused on COVID-19 Clinical Research Studies (14 papers), SARS-CoV-2 and COVID-19 Research (12 papers) and Venous Thromboembolism Diagnosis and Management (9 papers). Jennifer La collaborates with scholars based in United States, Russia and Australia. Jennifer La's co-authors include Nathanael R. Fillmore, Nhan Do, Mary T. Brophy, David Tuck, Westyn Branch‐Elliman, Nickolai O. Dulin, Sergei N. Orlov, Vinh Nguyen, Paul A. Monach and Gilda Tachedjian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Jennifer La

56 papers receiving 728 citations

Peers

Jennifer La
Comparison fields: 5 of 108
  • Infectious Diseases 229
  • Oncology 198
  • Molecular Biology 189
  • Pulmonary and Respiratory Medicine 96
  • Epidemiology 90
Replace Erik M. van Maarseveen with:
Erik M. van Maarseveen Netherlands
Weihong Zhang China
Jennifer M. Matro United States
Kelong Han United States
J Biollaz Switzerland
Melanie Cohen United States
Michael J. Ross United States
Fanpu Ji China
Sophie Zaloumis Australia
Erik M. van Maarseveen Netherlands View profile →
Citations per field, relative to Jennifer La
Jennifer La · 1×
Citations per year, relative to Jennifer La
Jennifer La · 1×

Countries citing papers authored by Jennifer La

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer La

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer La

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer La. A scholar is included among the top collaborators of Jennifer La 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 Jennifer La. Jennifer La 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 0
2 0
3 1
4 0
5 0
6 1
7 3
8 4
9 1
10 1
11 2
12 1
13 19
14 39
15 11
16 1
17 1
18 68
19 1
20 26

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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