Beena Krishnan

491 citations
12 papers · 368 · h-index 9

Impact in

Papers in

    • Protein Structure and Dynamics 4
    • Ubiquitin and proteasome pathways 1
    • Endoplasmic Reticulum Stress and Disease 2
    • Cellular transport and secretion 2

Beena Krishnan

12 papers receiving 363 citations

Peers

Beena Krishnan
Comparison fields: 5 of 74
  • Biophysics 25
  • Molecular Biology 270
  • Cell Biology 64
  • Structural Biology 3
  • Cancer Research 28
Replace Sonia Bañuelos with:
Sonia Bañuelos Spain
Alexander S. Krois United States
Montse Morell Spain
H.R. Faber United States
Yaroslav Nikolaev Switzerland
Konstantinos Tripsianes Czechia
Sharon Grabski United States
Louis-Philippe Bergeron-Sandoval Canada
Georg Blaser United Kingdom
Georgia Hadjipavlou Cyprus
Beena Krishnan relative to Sonia Bañuelos Spain Sonia Bañuelos's profile →
Citations per field
00.5×1.5×2.2×
Sonia Bañuelos · 1×
Citations per year

Countries citing papers authored by Beena Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Beena Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Beena Krishnan, 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 Beena Krishnan Line = papers co-authored together Beena Krishnan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2007103
2 201368
3 200846
4 201145
5 200729
6 201325
7 200815
8 201314
9 20179
10 20128
11
Ground Improvement Using Stone Column
20103
12
Protein folding in vitro and in vivo
20073

About Beena Krishnan

Beena Krishnan is a scholar working on Molecular Biology, Cell Biology, Genetics, Organic Chemistry and Cancer Research, having authored 12 papers that have together received 368 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Bacterial Genetics and Biotechnology (3 papers), Click Chemistry and Applications (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cellular transport and secretion (2 papers), Protease and Inhibitor Mechanisms (2 papers), Ubiquitin and proteasome pathways (1 paper) and Silk-based biomaterials and applications (1 paper). The work is most often cited by research in Biophysics (25 citations), Molecular Biology (270 citations), Cell Biology (64 citations), Structural Biology (3 citations) and Cancer Research (28 citations). Beena Krishnan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Lila M. Gierasch, Zoya Ignatova, Jeffrey P. Bombardier, S. Kulothungan, Raghavan Varadarajan, Aneta Szymańska, Ravindra Singh Prajapati, Pranveer Singh, P. Shaik Syed Ali and Bharat V. Adkar. Their work appears in journals such as Biochemistry, Nature Structural & Molecular Biology, PLoS ONE, Biopolymers and Structure.

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