S.A. Heitmeyer

890 total citations
8 papers, 586 citations indexed

About

S.A. Heitmeyer is a scholar working on Rheumatology, Cancer Research and Oncology. According to data from OpenAlex, S.A. Heitmeyer has authored 8 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Rheumatology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in S.A. Heitmeyer's work include Osteoarthritis Treatment and Mechanisms (4 papers), Protease and Inhibitor Mechanisms (3 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). S.A. Heitmeyer is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (4 papers), Protease and Inhibitor Mechanisms (3 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). S.A. Heitmeyer collaborates with scholars based in United States, United Kingdom and Canada. S.A. Heitmeyer's co-authors include Yetunde O. Taiwo, Kimberly K. Brown, Michael J. Janusz, Lily C. Hsieh, A.M. Bendele, K.A. Clarke, Neil G. Almstead, Michael G. Natchus, Anthony J. Freemont and Judith A. Hoyland and has published in prestigious journals such as Physiology & Behavior, Osteoarthritis and Cartilage and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

S.A. Heitmeyer

8 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S.A. Heitmeyer United States	8	359	175	131	109	109	8	586
Kimberly K. Brown United States	8	326 0.9×	148 0.8×	122 0.9×	98 0.9×	71 0.7×	9	507
Janet K. Fernihough United Kingdom	8	360 1.0×	211 1.2×	143 1.1×	78 0.7×	277 2.5×	8	715
Yuntao Gu China	13	151 0.4×	194 1.1×	254 1.9×	79 0.7×	57 0.5×	20	645
Yaosen Wu China	17	158 0.4×	177 1.0×	395 3.0×	77 0.7×	50 0.5×	29	861
Wenna Liang China	15	129 0.4×	103 0.6×	253 1.9×	24 0.2×	70 0.6×	33	590
Jun-Jun Xie China	10	80 0.2×	156 0.9×	268 2.0×	62 0.6×	43 0.4×	15	571
Zhuojing Luo China	16	49 0.1×	83 0.5×	519 4.0×	68 0.6×	51 0.5×	21	843
Li Cai China	17	132 0.4×	44 0.3×	284 2.2×	43 0.4×	37 0.3×	51	684
Dingkun Lin China	14	47 0.1×	56 0.3×	294 2.2×	30 0.3×	36 0.3×	22	518
Jiheng Zhan China	12	41 0.1×	56 0.3×	270 2.1×	39 0.4×	40 0.4×	24	502

Countries citing papers authored by S.A. Heitmeyer

Since Specialization

Citations

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

Fields of papers citing papers by S.A. Heitmeyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.A. Heitmeyer. 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 S.A. Heitmeyer. The network helps show where S.A. Heitmeyer may publish in the future.

Co-authorship network of co-authors of S.A. Heitmeyer

This figure shows the co-authorship network connecting the top 25 collaborators of S.A. Heitmeyer. A scholar is included among the top collaborators of S.A. Heitmeyer 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 S.A. Heitmeyer. S.A. Heitmeyer 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

Brown, Kimberly K., S.A. Heitmeyer, Lily C. Hsieh, et al.. (2008). P38 MAP kinase inhibitors as potential therapeutics for the treatment of joint degeneration and pain associated with osteoarthritis. Journal of Inflammation. 5(1). 22–22. 57 indexed citations

Janusz, Michael J., Kimberly K. Brown, Lily C. Hsieh, et al.. (2006). Comparison of the pharmacology of hydroxamate- and carboxylate-based matrix metalloproteinase inhibitors (MMPIs) for the treatment of osteoarthritis. Inflammation Research. 55(2). 60–65. 12 indexed citations

Laufersweiler, Matthew J., Todd A. Brugel, Michael P. Clark, et al.. (2004). The development of novel inhibitors of tumor necrosis factor-α (TNF-α) production based on substituted [5,5]-bicyclic pyrazolones. Bioorganic & Medicinal Chemistry Letters. 14(16). 4267–4272. 17 indexed citations

Janusz, Michael J., Christopher B. Little, Lindsay E. King, et al.. (2004). Detection of aggrecanase- and MMP-generated catabolic neoepitopes in the rat iodoacetate model of cartilage degeneration. Osteoarthritis and Cartilage. 12(9). 720–728. 45 indexed citations

Janusz, Michael J., A.M. Bendele, Kimberly K. Brown, et al.. (2002). Induction of osteoarthritis in the rat by surgical tear of the meniscus: Inhibition of joint damage by a matrix metalloproteinase inhibitor. Osteoarthritis and Cartilage. 10(10). 785–791. 186 indexed citations

Janusz, Michael J., S.A. Heitmeyer, J. Frederick Woessner, et al.. (2001). Moderation of iodoacetate-induced experimental osteoarthritis in rats by matrix metalloproteinase inhibitors. Osteoarthritis and Cartilage. 9(8). 751–760. 171 indexed citations

Clarke, K.A., et al.. (1997). Gait Analysis in a Rat Model of Osteoarthrosis. Physiology & Behavior. 62(5). 951–954. 80 indexed citations

Daston, G. P., et al.. (1989). Difference in teratogenic potency of ethylenethiourea in rats and mice: Relative contribution of embryonic and maternal factors. Teratology. 40(6). 555–566. 18 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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