Kelly M. Knee

456 total citations
18 papers, 310 citations indexed

About

Kelly M. Knee is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Kelly M. Knee has authored 18 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Materials Chemistry. Recurrent topics in Kelly M. Knee's work include Hemoglobinopathies and Related Disorders (7 papers), Heat shock proteins research (7 papers) and Enzyme Structure and Function (6 papers). Kelly M. Knee is often cited by papers focused on Hemoglobinopathies and Related Disorders (7 papers), Heat shock proteins research (7 papers) and Enzyme Structure and Function (6 papers). Kelly M. Knee collaborates with scholars based in United States, Sweden and United Kingdom. Kelly M. Knee's co-authors include Jonathan A. King, Daniel R. Goulet, Ishita Mukerji, J.H. Pereira, Nicholai R. Douglas, Judith Frydman, Paul D. Adams, Corie Y. Ralston, Yongting Wang and Sarah A. Petty and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Blood.

In The Last Decade

Kelly M. Knee

18 papers receiving 309 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kelly M. Knee United States	10	256	95	52	33	28	18	310
Charlotte Karlskov Schjerling Denmark	8	412 1.6×	65 0.7×	51 1.0×	37 1.1×	5 0.2×	8	472
Ana R. Correia Portugal	10	346 1.4×	31 0.3×	14 0.3×	51 1.5×	18 0.6×	16	488
Bettina Schwamb Germany	4	234 0.9×	8 0.1×	15 0.3×	21 0.6×	21 0.8×	5	331
Jane Yang United States	12	295 1.2×	14 0.1×	36 0.7×	92 2.8×	6 0.2×	17	402
Ayami Hirata Japan	6	269 1.1×	23 0.2×	21 0.4×	42 1.3×	5 0.2×	7	382
Aman Makaju United States	9	267 1.0×	28 0.3×	24 0.5×	28 0.8×	3 0.1×	11	343
Peter Hembach United States	6	193 0.8×	19 0.2×	116 2.2×	51 1.5×	8 0.3×	6	320
Valeria Losasso United Kingdom	9	126 0.5×	20 0.2×	38 0.7×	11 0.3×	4 0.1×	12	221
Dennis J. Worm Germany	11	170 0.7×	62 0.7×	12 0.2×	16 0.5×	3 0.1×	13	326
Kathryn L. Sarachan United States	11	416 1.6×	23 0.2×	9 0.2×	18 0.5×	50 1.8×	13	469

Countries citing papers authored by Kelly M. Knee

Since Specialization

Citations

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

Fields of papers citing papers by Kelly M. Knee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelly M. Knee. 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 Kelly M. Knee. The network helps show where Kelly M. Knee may publish in the future.

Co-authorship network of co-authors of Kelly M. Knee

This figure shows the co-authorship network connecting the top 25 collaborators of Kelly M. Knee. A scholar is included among the top collaborators of Kelly M. Knee 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 Kelly M. Knee. Kelly M. Knee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Jasuja, Reema, Lindsay Tomlinson, Lila Ramaiah, et al.. (2023). Effects of 2,3‐DPG knockout on SCD phenotype in Townes SCD model mice. American Journal of Hematology. 98(12). 1838–1846. 1 indexed citations

Kelly, John J., Dale Tranter, Els Pardon, et al.. (2022). Snapshots of actin and tubulin folding inside the TRiC chaperonin. Nature Structural & Molecular Biology. 29(5). 420–429. 27 indexed citations

Knee, Kelly M., Reema Jasuja, J. Jasti, et al.. (2021). PF‐07059013: A non‐covalent hemoglobin modulator favorably impacts disease state in a mouse model of sickle cell disease. American Journal of Hematology. 96(8). E272–E275. 4 indexed citations

Knee, Kelly M., Lindsay Tomlinson, Lila Ramaiah, et al.. (2020). Sickle Cell Disease Model Mice Lacking 2,3-Dpg Show Reduced RBC Sickling and Improvements in Markers of Hemolytic Anemia. Blood. 136(Supplement 1). 27–28. 1 indexed citations

Knee, Kelly M., Reema Jasuja, Parag V. Sahasrabudhe, et al.. (2019). A Novel Non-Covalent Modulator of Hemoglobin Improves Anemia and Reduces Sickling in a Mouse Model of Sickle Cell Disease. Blood. 134(Supplement_1). 207–207. 1 indexed citations

Sergeeva, Oksana A., et al.. (2014). Group II archaeal chaperonin recognition of partially folded human γD‐crystallin mutants. Protein Science. 23(6). 693–702. 1 indexed citations

Pereira, J.H., Corie Y. Ralston, Nicholai R. Douglas, et al.. (2012). Mechanism of nucleotide sensing in group II chaperonins. The EMBO Journal. 31(19). 3949–3950. 2 indexed citations

Knee, Kelly M., Oksana A. Sergeeva, & Jonathan A. King. (2012). Human TRiC complex purified from HeLa cells contains all eight CCT subunits and is active in vitro. Cell Stress and Chaperones. 18(2). 137–144. 22 indexed citations

Kim, Yong Hoon, et al.. (2012). Evaluation of Flushing Efficiency in an Embayment System Depending on Different Channel Configurations Using FVCOM: A Case Study in Abu Dhabi. Estuarine and Coastal Modeling. 20. 118–138. 2 indexed citations

10.

Pereira, J.H., Corie Y. Ralston, Nicholai R. Douglas, et al.. (2011). Mechanism of nucleotide sensing in group II chaperonins. The EMBO Journal. 31(3). 731–740. 31 indexed citations

11.

Goulet, Daniel R., Kelly M. Knee, & Jonathan A. King. (2011). Inhibition of unfolding and aggregation of lens protein human gamma D crystallin by sodium citrate. Experimental Eye Research. 93(4). 371–381. 18 indexed citations

12.

Ikuta, Tohru, Hemant S. Thatte, Jay X. Tang, et al.. (2011). Nitric oxide reduces sickle hemoglobin polymerization: Potential role of nitric oxide-induced charge alteration in depolymerization. Archives of Biochemistry and Biophysics. 510(1). 53–61. 13 indexed citations

13.

Pereira, J.H., Corie Y. Ralston, Nicholai R. Douglas, et al.. (2010). Crystal Structures of a Group II Chaperonin Reveal the Open and Closed States Associated with the Protein Folding Cycle. Journal of Biological Chemistry. 285(36). 27958–27966. 58 indexed citations

14.

Knee, Kelly M., Daniel R. Goulet, Junjie Zhang, et al.. (2010). The group II chaperonin Mm‐Cpn binds and refolds human γD crystallin. Protein Science. 20(1). 30–41. 11 indexed citations

15.

Wang, Yongting, Sarah A. Petty, Kelly M. Knee, et al.. (2010). Formation of Amyloid Fibrils In Vitro from Partially Unfolded Intermediates of Human γC-Crystallin. Investigative Ophthalmology & Visual Science. 51(2). 672–672. 65 indexed citations

16.

Knee, Kelly M. & Ishita Mukerji. (2009). Real Time Monitoring of Sickle Cell Hemoglobin Fiber Formation by UV Resonance Raman Spectroscopy. Biochemistry. 48(41). 9903–9911. 7 indexed citations

17.

Knee, Kelly M., Surjit B. Dixit, Colin Echeverría Aitken, et al.. (2008). Spectroscopic and Molecular Dynamics Evidence for a Sequential Mechanism for the A-to-B Transition in DNA. Biophysical Journal. 95(1). 257–272. 36 indexed citations

18.

Knee, Kelly M., et al.. (2007). The role of β93 Cys in the inhibition of Hb S fiber formation. Biophysical Chemistry. 127(3). 181–193. 10 indexed citations

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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