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.
Prevention of VTE in Nonsurgical Patients
20122.0k citationsSusan R. Kahn, Wendy Lim et al.CHEST Journalprofile →
The American Society of Hematology 2011 evidence-based practice guideline for immune thrombocytopenia
20111.3k citationsCindy Neunert, Wendy Lim et al.profile →
American Society of Hematology 2019 guidelines for immune thrombocytopenia
2019730 citationsCindy Neunert, Deirdra R. Terrell et al.Blood Advancesprofile →
American Society of Hematology 2018 guidelines for management of venous thromboembolism: diagnosis of venous thromboembolism
2018239 citationsWendy Lim, Grégoire Le Gal et al.Blood Advancesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Wendy Lim'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 Wendy Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wendy Lim more than expected).
This network shows the impact of papers produced by Wendy Lim. 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 Wendy Lim. The network helps show where Wendy Lim may publish in the future.
Co-authorship network of co-authors of Wendy Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Wendy Lim.
A scholar is included among the top collaborators of Wendy Lim 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 Wendy Lim. Wendy Lim is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Neunert, Cindy, Deirdra R. Terrell, Donald M. Arnold, et al.. (2019). American Society of Hematology 2019 guidelines for immune thrombocytopenia. Blood Advances. 3(23). 3829–3866.730 indexed citations breakdown →
6.
Lim, Wendy, Grégoire Le Gal, Shannon M. Bates, et al.. (2018). American Society of Hematology 2018 guidelines for management of venous thromboembolism: diagnosis of venous thromboembolism. Blood Advances. 2(22). 3226–3256.239 indexed citations breakdown →
7.
Chadban, Steven J., Helen Pilmore, Graeme R. Russ, et al.. (2016). Everolimus Plus Reduced-Exposure Cyclosporin versus Mycophenolic Acid Plus Cyclosporin: Seven-Year Follow-Up of Australia and New Zealand Kidney Transplant Recipients in the A2309 Study.. American Journal of Transplantation. 16. 305–305.3 indexed citations
Staplin, Natalie, Jonathan Emberson, Colin Baigent, et al.. (2014). CANCER AND CHRONIC KIDNEY DISEASE: AN INDIVIDUAL PATIENT DATA META-ANALYSIS OF 33,618 PARTICIPANTS. Oxford University Research Archive (ORA) (University of Oxford).3 indexed citations
10.
Linkins, Lori‐Ann, Shannon M. Bates, Eddy Lang, et al.. (2013). Selective D-Dimer Testing for Diagnosis of a First Suspected Episode of Deep Venous Thrombosis. Annals of Internal Medicine.3 indexed citations
Lim, Wendy. (2003). Towards Developing a Natural Law Jurisprudence in the U.S. Patent System. Santa Clara computer and high-technology law journal. 19(2). 561.1 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.