Uma Sankar

48 papers receiving 1.9k citations

Uma Sankar's Hit Papers

A helper-dependent adenovirus vector system: Removal of helper virus by Cre-mediated excision of the viral packaging signal 1996 · 618 citations
6180+10+20Years since publication200400600

Peers

Uma Sankar
Comparison fields: 5 of 91
  • Genetics 693
  • Virology 84
  • Molecular Biology 1.3k
  • Oncology 391
  • Cancer Research 155
Replace Jaspal S. Khillan with:
Jaspal S. Khillan United States
William Osborne United States
Cathleen R. Carlin United States
Eyal Bengal Israel
Chantal Jacquet France
Kalervo Metsikkö Finland
Delila Serra United States
K Yamamura Japan
Justin Wong Australia
Qian‐Chun Yu United States
Uma Sankar relative to Jaspal S. Khillan United States Jaspal S. Khillan's profile →
Citations per field
00.5×1.5×2.2×
Jaspal S. Khillan · 1×
Citations per year

Countries citing papers authored by Uma Sankar

Since Specialization
Citations

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

Fields of papers citing papers by Uma Sankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Uma Sankar, 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 Uma Sankar Line = papers co-authored together Uma Sankar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A helper-dependent adenovirus vector system: Removal of helper virus by Cre-mediated excision of the viral packaging signal
Hit paper breakdown →
1996618
2 2002209
3 2010113
4 199998
5 199581
6 200775
7 200566
8 200762
9 199853
10 200450
11 201345
12 202340
13 202036
14 201831
15 201431
16 201026
17 202023
18 201123
19 201821
20 201918

About Uma Sankar

Uma Sankar is a scholar working on Molecular Biology, Oncology, Genetics, Epidemiology and Rheumatology, having authored 52 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (14 papers), Bone health and treatments (8 papers), Bone health and osteoporosis research (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Bone fractures and treatments (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Virus-based gene therapy research (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Genetics (693 citations), Virology (84 citations), Molecular Biology (1.3k citations), Oncology (391 citations) and Cancer Research (155 citations). Uma Sankar has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Frank L. Graham, Robin J. Parks, Martina Anton, Michael A. Rudnicki, Michael C. Ostrowski, Jiahuai Han, Kim C. Mansky, Anthony R. Means, Rohini Gomathinayagam and Carole Evelegh. Their work appears in journals such as Journal of Bone and Mineral Research, Osteoarthritis and Cartilage, Journal of Visualized Experiments, Bone and Molecular Biology of the Cell.

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