Harshani R. Lawrence

4.5k citations
75 papers · 3.5k indexed · 1 hit paper · h-index 35
Topics
Ubiquitin and proteasome pathways (14 papers)Cancer-related Molecular Pathways (13 papers)Estrogen and related hormone effects (10 papers)

In The Last Decade

Harshani R. Lawrence

74 papers receiving 3.4k citations

Hit Papers

Selective chemical probe inhibitor of Stat3, identified t...20072026201320192007200400600

Peers

Harshani R. Lawrence
Comparison fields: 5 of 107
  • Molecular Biology 2.1k
  • Oncology 1.3k
  • Immunology 683
  • Organic Chemistry 369
  • Genetics 362
Replace Michelle A. Blaskovich with:
Michelle A. Blaskovich United States
Angelika M. Burger United States
Steven W. Elmore United States
Kuen‐Feng Chen Taiwan
Franca Formelli Italy
Lanxi Song United States
Jiazhi Sun United States
Liguang Lou China
Alan J. Kraker United States
Uwe Rix United States
Harshani R. Lawrence relative to Michelle A. Blaskovich United States Michelle A. Blaskovich's profile →
Citations per field
00.5×4.8×
Michelle A. Blaskovich · 1×
Citations per year

Countries citing papers authored by Harshani R. Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Harshani R. Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harshani R. Lawrence. 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 Harshani R. Lawrence. The network helps show where Harshani R. Lawrence may publish in the future.

Co-authorship network of co-authors of Harshani R. Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of Harshani R. Lawrence. A scholar is included among the top collaborators of Harshani R. Lawrence 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 Harshani R. Lawrence. Harshani R. Lawrence 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 1
2 3
3 1
4 19
5 15
6 40
7 7
8 53
9 41
10 77
11 21
12 50
13 122
14 26
15 37
16 31
17 22
18 80
19 42
20 236

About Harshani R. Lawrence

Harshani R. Lawrence is a scholar working on Oncology, Pharmacology and Hematology, having authored 75 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (14 papers), Cancer-related Molecular Pathways (13 papers) and Estrogen and related hormone effects (10 papers). The work is most often cited by research in Toxicology (187 citations), Oncology (1.3k citations) and Immunology (683 citations). Harshani R. Lawrence has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Nicholas J. Lawrence, Saı̈d M. Sebti, Wayne C. Guida, M.L. Richard Yip, Jie Wu, Yunting Luo, Michelle A. Blaskovich, Kiran Mahajan, Nupam P. Mahajan and Richard Jove. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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