Robert J. Kelm

3.0k total citations · 1 hit paper
54 papers, 2.5k citations indexed

About

Robert J. Kelm is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Robert J. Kelm has authored 54 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 9 papers in Genetics and 9 papers in Oncology. Recurrent topics in Robert J. Kelm's work include RNA Research and Splicing (17 papers), Cell Adhesion Molecules Research (9 papers) and Hemoglobinopathies and Related Disorders (8 papers). Robert J. Kelm is often cited by papers focused on RNA Research and Splicing (17 papers), Cell Adhesion Molecules Research (9 papers) and Hemoglobinopathies and Related Disorders (8 papers). Robert J. Kelm collaborates with scholars based in United States, Japan and China. Robert J. Kelm's co-authors include Arthur R. Strauch, James A. Richardson, Brett A. Johnson, Eva van Rooij, Daniel Quiat, Xiaoxia Qi, Lillian B. Sutherland, Eric N. Olson, Michael J. Getz and Kenneth G. Mann and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Blood.

In The Last Decade

Robert J. Kelm

53 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Family of microRNAs Encoded by Myosin Genes Governs Myosin Expression and Muscle Performance

2009 784 citations Robert J. Kelm et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert J. Kelm United States	26	1.6k	767	324	302	289	54	2.5k
Laura S. Haneline United States	30	2.0k 1.2×	401 0.5×	315 1.0×	388 1.3×	366 1.3×	73	3.3k
Désirée Bonci Italy	25	2.9k 1.7×	2.3k 3.0×	283 0.9×	213 0.7×	159 0.6×	37	3.6k
R Gallini Sweden	10	1.4k 0.9×	343 0.4×	212 0.7×	139 0.5×	249 0.9×	23	2.7k
Michel Wassef France	27	1.7k 1.0×	459 0.6×	107 0.3×	166 0.5×	317 1.1×	63	3.0k
Suya Yang United States	17	1.2k 0.7×	329 0.4×	248 0.8×	148 0.5×	105 0.4×	18	1.8k
Gilbert-André Keller United States	14	1.0k 0.6×	297 0.4×	143 0.4×	308 1.0×	134 0.5×	17	1.9k
Evgenia Pak United States	23	2.4k 1.4×	279 0.4×	266 0.8×	205 0.7×	125 0.4×	42	3.3k
Marion C. Dickson United Kingdom	24	1.2k 0.7×	221 0.3×	188 0.6×	169 0.6×	203 0.7×	34	2.4k
Tomáš Stopka Czechia	28	1.6k 1.0×	560 0.7×	413 1.3×	737 2.4×	105 0.4×	78	2.5k
Karin Weindel Germany	16	1.8k 1.1×	844 1.1×	153 0.5×	120 0.4×	104 0.4×	19	2.6k

Countries citing papers authored by Robert J. Kelm

Since Specialization

Citations

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

Fields of papers citing papers by Robert J. Kelm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Kelm. 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 Robert J. Kelm. The network helps show where Robert J. Kelm may publish in the future.

Co-authorship network of co-authors of Robert J. Kelm

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Foote, Andrea & Robert J. Kelm. (2023). Aromatic Residues Dictate the Transcriptional Repressor and Single-Stranded DNA Binding Activities of Purine-Rich Element Binding Protein B. Biochemistry. 62(17). 2597–2610.

Rumora, Amy E., et al.. (2010). Isolation and characterization of the core single-stranded DNA-binding domain of purine-rich element binding protein B (Purβ). Biochemical and Biophysical Research Communications. 400(3). 340–345. 8 indexed citations

Kollander, Rahn, Anna Solovey, Liming Milbauer, et al.. (2009). Nuclear factor-kappa B (NFκB) component p50 in blood mononuclear cells regulates endothelial tissue factor expression in sickle transgenic mice: implications for the coagulopathy of sickle cell disease. Translational research. 155(4). 170–177. 36 indexed citations

Zhao, Sheng, Robert J. Kelm, & Russell D. Fernald. (2009). Regulation of gonadotropin-releasing hormone-1 gene transcription by members of the purine-rich element-binding protein family. American Journal of Physiology-Endocrinology and Metabolism. 298(3). E524–E533. 7 indexed citations

Huang, Charlie, Mithu Majumder, Cheng-Ming Chiang, et al.. (2009). A Bifunctional Intronic Element Regulates the Expression of the Arginine/Lysine Transporter Cat-1 via Mechanisms Involving the Purine-rich Element Binding Protein A (Purα). Journal of Biological Chemistry. 284(47). 32312–32320. 12 indexed citations

Wang, Shuxia, et al.. (2007). Structure-Function Analysis of Mouse Purβ II. Journal of Biological Chemistry. 282(49). 35899–35909. 12 indexed citations

Kaul, Dhananjay K., Rahn Kollander, Hemchandra Mahaseth, et al.. (2006). Robust Vascular Protective Effect of Hydroxamic Acid Derivatives in a Sickle Mouse Model of Inflammation. Microcirculation. 13(6). 489–497. 17 indexed citations

Zhang, Jenny J., Robert J. Kelm, Purba Biswas, Michael Kashgarian, & Joseph A. Madri. (2006). PECAM‐1 modulates thrombin‐induced tissue factor expression on endothelial cells. Journal of Cellular Physiology. 210(2). 527–537. 27 indexed citations

Shimotai, Yoshitaka, et al.. (2005). A binding site for Purα and Purβ is structurally unstable and is required for replication in vivo from the rat aldolase B origin. Biochemical and Biophysical Research Communications. 340(2). 517–525. 7 indexed citations

10.

Subramanian, Sukanya, et al.. (2004). Induction of Vascular Smooth Muscle α-Actin Gene Transcription in Transforming Growth Factor β1-Activated Myofibroblasts Mediated by Dynamic Interplay between the Pur Repressor Proteins and Sp1/Smad Coactivators. Molecular Biology of the Cell. 15(10). 4532–4543. 55 indexed citations

11.

Wang, Shuxia, Paula K. Elder, Ye Zheng, Arthur R. Strauch, & Robert J. Kelm. (2004). Cell Cycle-mediated Regulation of Smooth Muscle α-Actin Gene Transcription in Fibroblasts and Vascular Smooth Muscle Cells Involves Multiple Adenovirus E1A-interacting Cofactors. Journal of Biological Chemistry. 280(7). 6204–6214. 14 indexed citations

12.

Liu, Suling, et al.. (2002). Suppression of tissue factor expression, cofactor activity, and metastatic potential of murine melanoma cells by the N‐terminal domain of adenovirus E1A 12S protein. Journal of Cellular Biochemistry. 85(1). 54–71. 13 indexed citations

13.

Getz, Michael J., et al.. (2002). Cryptic MCAT Enhancer Regulation in Fibroblasts and Smooth Muscle Cells. Journal of Biological Chemistry. 277(10). 8682–8692. 46 indexed citations

14.

Cogan, John G., Sukanya Subramanian, John A. Polikandriotis, Robert J. Kelm, & Arthur R. Strauch. (2002). Vascular Smooth Muscle α-Actin Gene Transcription during Myofibroblast Differentiation Requires Sp1/3 Protein Binding Proximal to the MCAT Enhancer. Journal of Biological Chemistry. 277(39). 36433–36442. 61 indexed citations

15.

Liu, Suling, et al.. (2000). The retinoblastoma gene family members pRB and p107 coactivate the AP-1-dependent mouse tissue factor promoter in fibroblasts. Oncogene. 19(30). 3352–3362. 17 indexed citations

16.

Kelm, Robert J., John G. Cogan, Paula K. Elder, Arthur R. Strauch, & Michael J. Getz. (1999). Molecular Interactions between Single-stranded DNA-binding Proteins Associated with an Essential MCAT Element in the Mouse Smooth Muscle α-Actin Promoter. Journal of Biological Chemistry. 274(20). 14238–14245. 78 indexed citations

17.

Kelm, Robert J., Paula K. Elder, & Michael J. Getz. (1999). The Single-stranded DNA-binding Proteins, Purα, Purβ, and MSY1 Specifically Interact with an Exon 3-derived Mouse Vascular Smooth Muscle α-Actin Messenger RNA Sequence. Journal of Biological Chemistry. 274(53). 38268–38275. 36 indexed citations

18.

Kelm, Robert J., Paula K. Elder, Arthur R. Strauch, & Michael J. Getz. (1997). Sequence of cDNAs Encoding Components of Vascular Actin Single-stranded DNA-binding Factor 2 Establish Identity to Purα and Purβ. Journal of Biological Chemistry. 272(42). 26727–26733. 87 indexed citations

19.

Welfe, Aleksander & Robert J. Kelm. (1996). Prognozowanie produktu krajowego brutto w ujęciu kwartalnym. Gospodarka Narodowa. 29–32. 1 indexed citations

20.

Kelm, Robert J., Siquan Sun, Arthur R. Strauch, & Michael J. Getz. (1996). Repression of Transcriptional Enhancer Factor-1 and Activator Protein-1-dependent Enhancer Activity by Vascular Actin Single-stranded DNA Binding Factor 2. Journal of Biological Chemistry. 271(39). 24278–24285. 31 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.

Explore authors with similar magnitude of impact