Jeffrey L. Feldman

635 total citations
8 papers, 449 citations indexed

About

Jeffrey L. Feldman is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jeffrey L. Feldman has authored 8 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Jeffrey L. Feldman's work include Muscle Physiology and Disorders (3 papers), Nuclear Structure and Function (1 paper) and Inflammation biomarkers and pathways (1 paper). Jeffrey L. Feldman is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Nuclear Structure and Function (1 paper) and Inflammation biomarkers and pathways (1 paper). Jeffrey L. Feldman collaborates with scholars based in United States and United Kingdom. Jeffrey L. Feldman's co-authors include Frank E. Stockdale, Debra D. Pittman, Kathleen Shields, Christine Resmini, Brian M. Clancy, Anthony Wong, George P. Vlasuk, Marc Feldmann, William L. Trepicchio and Brian M. J. Foxwell and has published in prestigious journals such as Journal of Biological Chemistry, Developmental Biology and Bone.

In The Last Decade

Jeffrey L. Feldman

8 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey L. Feldman United States	7	297	94	55	53	51	8	449
Lingchao Meng China	14	341 1.1×	70 0.7×	63 1.1×	37 0.7×	27 0.5×	81	603
Ellen Sterrenburg Netherlands	12	425 1.4×	73 0.8×	131 2.4×	37 0.7×	85 1.7×	16	597
Tanja Schlechter Germany	9	233 0.8×	52 0.6×	39 0.7×	41 0.8×	21 0.4×	10	401
Syed Hassan Ejaz Zaidi Canada	12	319 1.1×	48 0.5×	194 3.5×	48 0.9×	44 0.9×	14	546
Tomohisa Sekimoto Japan	13	314 1.1×	133 1.4×	116 2.1×	26 0.5×	87 1.7×	33	589
Analeah B. Heidt United States	10	513 1.7×	67 0.7×	102 1.9×	80 1.5×	29 0.6×	14	607
Belén Prados Spain	11	417 1.4×	57 0.6×	61 1.1×	174 3.3×	33 0.6×	12	559
Francesca Pampinella Italy	11	286 1.0×	98 1.0×	76 1.4×	19 0.4×	40 0.8×	13	596
Kumaran Chandrasekharan United States	14	286 1.0×	51 0.5×	77 1.4×	209 3.9×	38 0.7×	17	488
Tessa Peterkin United Kingdom	10	569 1.9×	107 1.1×	92 1.7×	56 1.1×	83 1.6×	11	683

Countries citing papers authored by Jeffrey L. Feldman

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey L. Feldman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey L. Feldman. 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 Jeffrey L. Feldman. The network helps show where Jeffrey L. Feldman may publish in the future.

Co-authorship network of co-authors of Jeffrey L. Feldman

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

All Works

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8 of 8 papers shown

Christaki, Eirini, Steven M. Opal, James C. Keith, et al.. (2011). A Monoclonal Antibody Against RAGE Alters Gene Expression and is Protective in Experimental Models of Sepsis and Pneumococcal Pneumonia. Shock. 35(5). 492–498. 44 indexed citations

Clerin, Valérie, Heather H. Shih, Nanhua Deng, et al.. (2008). Expression of the cysteine protease legumain in vascular lesions and functional implications in atherogenesis. Atherosclerosis. 201(1). 53–66. 45 indexed citations

Kuai, Jun, Bernard Gregory, Andrew Hill, et al.. (2008). 78 TREM-1 expression is increased in the Synovium of Rheumatoid Arthritis patients and induces the expression of pro-inflammatory cytokines. Cytokine. 43(3). 254–255. 3 indexed citations

Edwards, Christopher J, Jeffrey L. Feldman, Jonathan T. Beech, et al.. (2007). Molecular Profile of Peripheral Blood Mononuclear Cells from Patients with Rheumatoid Arthritis. Molecular Medicine. 13(1-2). 40–58. 63 indexed citations

Clancy, Brian M., et al.. (2003). A gene expression profile for endochondral bone formation: oligonucleotide microarrays establish novel connections between known genes and BMP-2-induced bone formation in mouse quadriceps. Bone. 33(1). 46–63. 57 indexed citations

Nikovits, William, et al.. (1996). Isolation and Characterization of an Avian Slow Myosin Heavy Chain Gene Expressed during Embryonic Skeletal Muscle Fiber Formation. Journal of Biological Chemistry. 271(29). 17047–17056. 21 indexed citations

Feldman, Jeffrey L. & Frank E. Stockdale. (1992). Temporal appearance of satellite cells during myogenesis. Developmental Biology. 153(2). 217–226. 76 indexed citations

Feldman, Jeffrey L. & Frank E. Stockdale. (1991). Skeletal muscle satellite cell diversity: Satellite cells form fibers of different types in cell culture. Developmental Biology. 143(2). 320–334. 140 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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