Denise Ramjit

1.1k total citations
16 papers, 843 citations indexed

About

Denise Ramjit is a scholar working on Cardiology and Cardiovascular Medicine, Hematology and Nephrology. According to data from OpenAlex, Denise Ramjit has authored 16 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 9 papers in Hematology and 5 papers in Nephrology. Recurrent topics in Denise Ramjit's work include Blood Pressure and Hypertension Studies (7 papers), Platelet Disorders and Treatments (5 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). Denise Ramjit is often cited by papers focused on Blood Pressure and Hypertension Studies (7 papers), Platelet Disorders and Treatments (5 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). Denise Ramjit collaborates with scholars based in United States, Netherlands and Denmark. Denise Ramjit's co-authors include Ronald J. Shebuski, Joseph J. Lynch, Inez I. Stabilito, Gary R. Sitko, G H Bencen, Mark A. Polokoff, Shahnaz Shahinfar, Barry M. Brenner, G P Vlasuk and Tsuneo Fujita and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Kidney International.

In The Last Decade

Denise Ramjit

15 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denise Ramjit United States 14 381 268 149 131 127 16 843
Binggang Xiang United States 11 111 0.3× 298 1.1× 53 0.4× 360 2.7× 22 0.2× 14 843
Séverine Brabant France 10 252 0.7× 65 0.2× 23 0.2× 36 0.3× 72 0.6× 24 480
Kerstin Jurk Germany 12 171 0.4× 251 0.9× 61 0.4× 126 1.0× 6 0.0× 21 698
Axel Müller Netherlands 13 62 0.2× 93 0.3× 50 0.3× 69 0.5× 38 0.3× 21 609
L Romics Hungary 13 97 0.3× 39 0.1× 74 0.5× 147 1.1× 125 1.0× 42 587
G Sacchi Italy 10 77 0.2× 57 0.2× 560 3.8× 333 2.5× 41 0.3× 20 946
Cristiana Bulato Italy 20 146 0.4× 436 1.6× 24 0.2× 395 3.0× 8 0.1× 47 1.4k
E. Amundsen Norway 17 51 0.1× 136 0.5× 23 0.2× 116 0.9× 15 0.1× 67 764
A. L. Pasqui Italy 14 151 0.4× 62 0.2× 9 0.1× 69 0.5× 34 0.3× 30 595
M. Mohri Japan 9 90 0.2× 141 0.5× 12 0.1× 76 0.6× 14 0.1× 10 384

Countries citing papers authored by Denise Ramjit

Since Specialization
Citations

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

Fields of papers citing papers by Denise Ramjit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Ramjit

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

All Works

16 of 16 papers shown
1.
Zeeuw, Dick de, Denise Ramjit, Artur Beltrame Ribeiro, et al.. (2006). Renal risk and renoprotection among ethnic groups with type 2 diabetic nephropathy: A post hoc analysis of RENAAL. Kidney International. 69(9). 1675–1682. 76 indexed citations
2.
Zhang, Zhongxin, Shahnaz Shahinfar, William F. Keane, et al.. (2005). Importance of Baseline Distribution of Proteinuria in Renal Outcomes Trials: Lessons from the Reduction of Endpoints in NIDDM with the Angiotensin II Antagonist Losartan (RENAAL) Study. Journal of the American Society of Nephrology. 16(6). 1775–1780. 32 indexed citations
3.
Zagrobelny, JoAnn, Charles C. Lin, Michael Ritter, et al.. (2003). Pharmacokinetics, Safety, and Antihypertensive Efficacy of Losartan in Combination with Hydrochlorothiazide in Hypertensive Patients with Renal Impairment. The Journal of Clinical Pharmacology. 43(6). 591–603. 13 indexed citations
4.
Zagrobelny, JoAnn, Charles C. Lin, Michael Ritter, et al.. (2003). Pharmacokinetics, Safety, and Antihypertensive Efficacy of Losartan in Combination with Hydrochlorothiazide in Hypertensive Patients with Renal Impairment. The Journal of Clinical Pharmacology. 43(6). 591–603.
5.
Shahinfar, Shahnaz, et al.. (2002). Losartan in patients with type 2 diabetes and proteinuria: Observations from the RENAAL Study. Kidney International. 62(82). S64–S67. 28 indexed citations
6.
Brenner, Barry M., Mark E. Cooper, Dick de Zeeuw, et al.. (2000). The losartan renal protection study — rationale, study design and baseline characteristics of RENAAL (Reduction of Endpoints in NIDDM with the Angiotensin II Antagonist Losartan). Journal of the Renin-Angiotensin-Aldosterone System. 1(4). 328–335. 109 indexed citations
7.
Toto, Robert D., Pamela J. Shultz, Leopoldo Raij, et al.. (1998). Efficacy and Tolerability of Losartan in Hypertensive Patients With Renal Impairment. Hypertension. 31(2). 684–691. 71 indexed citations
8.
Cook, Jacquelynn J., Marie A. Holahan, Denise Ramjit, et al.. (1996). Nonpeptide glycoprotein IIb/IIIa inhibitors. 8. Antiplatelet activity and oral antithrombotic efficacy of L-734,217.. Journal of Pharmacology and Experimental Therapeutics. 278(1). 62–73. 18 indexed citations
9.
Lynch, Joseph J., Jacquelynn J. Cook, Gary R. Sitko, et al.. (1995). Nonpeptide glycoprotein IIb/IIIa inhibitors. 5. Antithrombotic effects of MK-0383.. Journal of Pharmacology and Experimental Therapeutics. 272(1). 20–32. 56 indexed citations
10.
Mellott, Michael J., Denise Ramjit, Inez I. Stabilito, et al.. (1995). Vampire Bat Salivary Plasminogen Activator Evokes Minimal Bleeding Relative to Tissue-Type Plasminogen Activator as Assessed by a Rabbit Cuticle Bleeding Time Model. Thrombosis and Haemostasis. 73(3). 478–483. 9 indexed citations
11.
Ramjit, Denise, Joseph J. Lynch, Gary R. Sitko, et al.. (1993). Antithrombotic effects of MK-0852, a platelet fibrinogen receptor antagonist, in canine models of thrombosis.. Journal of Pharmacology and Experimental Therapeutics. 266(3). 1501–1511. 26 indexed citations
12.
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14.
Gardell, Stephen J., Denise Ramjit, Inez I. Stabilito, et al.. (1991). Effective thrombolysis without marked plasminemia after bolus intravenous administration of vampire bat salivary plasminogen activator in rabbits.. Circulation. 84(1). 244–253. 55 indexed citations
15.
Shebuski, Ronald J., Denise Ramjit, Gary R. Sitko, Patricia K. Lumma, & Victor M. Garsky. (1990). Prevention of Canine Coronary Artery Thrombosis with Echistatin, a Potent Inhibitor of Platelet Aggregation from the Venom of the Viper, Echis carmatus. Thrombosis and Haemostasis. 64(4). 576–581. 23 indexed citations
16.
Shebuski, Ronald J., Denise Ramjit, G H Bencen, & Mark A. Polokoff. (1989). Characterization and Platelet Inhibitory Activity of Bitistatin, a Potent Arginine-Glycine-Aspartic Acid-Containing Peptide from the Venom of the Viper Bitis arietans. Journal of Biological Chemistry. 264(36). 21550–21556. 126 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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