Ulka Sachdev

37 papers receiving 712 citations

Peers

Ulka Sachdev
Comparison fields: 5 of 102
  • Clinical Biochemistry 60
  • Internal Medicine 28
  • Developmental Biology 17
  • Surgery 187
  • Immunology 87
Replace Daniel Navot with:
Daniel Navot United States
Raphaël Ron-El Israel
D.A. Aitken United Kingdom
Seyed Alireza Dastgheib Iran
Choni Rinat Israel
Cláudio Galvão de Castro Brazil
Murat Sönmezer Türkiye
Philippe Merviel France
Inusha Panigrahi India
Neeta L. Vora United States
Ulka Sachdev relative to Daniel Navot United States Daniel Navot's profile →
Citations per field
00.5×2×4×5.7×
Daniel Navot · 1×
Citations per year

Countries citing papers authored by Ulka Sachdev

Since Specialization
Citations

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

Fields of papers citing papers by Ulka Sachdev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ulka Sachdev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ulka Sachdev Line = papers co-authored together Ulka Sachdev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201685
2 202175
3 201169
4 201065
5 201656
6 199337
7 201532
8 201331
9 201729
10 201829
11 201526
12 201225
13 202018
14 202118
15 201414
16 201813
17 202112
18 201412
19 201710
20 20178

About Ulka Sachdev

Ulka Sachdev is a scholar working on Surgery, Molecular Biology, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 722 indexed citations. Recurring topics across this work include Diagnosis and Treatment of Venous Diseases (6 papers), Advanced Glycation End Products research (5 papers), Peripheral Artery Disease Management (5 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Diversity and Career in Medicine (3 papers), Adenosine and Purinergic Signaling (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Clinical Biochemistry (60 citations), Internal Medicine (28 citations), Developmental Biology (17 citations), Surgery (187 citations) and Immunology (87 citations). Ulka Sachdev has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xiangdong Cui, Edith Tzeng, Michael T. Lotze, Elizabeth Andraska, Michel S. Makaroun, Rabih A. Chaer, Herbert J. Zeh, Pranav Murthy, Sebastian Vogel and Young Erben. Their work appears in journals such as Journal of Vascular Surgery, Journal of Vascular Surgery Venous and Lymphatic Disorders, Biochemical and Biophysical Research Communications, Journal of the American College of Surgeons and Molecular Medicine.

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