Swati Kulkarni

3.8k citations
103 papers · 2.0k indexed · h-index 24
Topics
Breast Cancer Treatment Studies (21 papers)HER2/EGFR in Cancer Research (12 papers)BRCA gene mutations in cancer (11 papers)
Partner nations
United StatesCanadaIndia

In The Last Decade

Swati Kulkarni

94 papers receiving 2.0k citations

Peers

Swati Kulkarni
Comparison fields: 5 of 133
  • Oncology 747
  • Cancer Research 541
  • Molecular Biology 492
  • Genetics 419
  • Pathology and Forensic Medicine 336
Replace Bin Sun with:
Bin Sun China
Helen Swede United States
Sang‐Yoon Park South Korea
D. Lynne Smith United States
Khalil Zaman Switzerland
Marco Petrillo Italy
Deqing Pei United States
Monica Fornier United States
Sven Mahner Germany
Yang Shen China
Swati Kulkarni relative to Bin Sun China Bin Sun's profile →
Citations per field
00.5×1.5×2.3×
Bin Sun · 1×
Citations per year

Countries citing papers authored by Swati Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Swati Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Swati Kulkarni. A scholar is included among the top collaborators of Swati Kulkarni 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 Swati Kulkarni. Swati Kulkarni 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 0
2 4
3 4
4 5
5 5
6 0
7 83
8 1
9
Behavior of Reduced Beam Section Moment Connection with Varying Thickness of Continuity Plate
1
10 19
11 59
12 17
13 13
14 26
15 16
16 31
17 4
18 38
19 24
20 33

About Swati Kulkarni

Swati Kulkarni is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (21 papers), HER2/EGFR in Cancer Research (12 papers) and BRCA gene mutations in cancer (11 papers). The work is most often cited by research in Cancer Research (541 citations), Oncology (747 citations) and Pathology and Forensic Medicine (336 citations). Swati Kulkarni has collaborated with scholars based in United States, Canada and India. Frequent co-authors include David G. Hicks, Thaer Khoury, Janet S. Rader, Andrew J. Dannenberg, Helen Liapis, Alane Koki, Fan Zhang, Kotha Subbaramaiah, Jaime L. Masferrer and Helena Hwang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.

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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