Raynell Clark

6.1k total citations · 2 hit papers
35 papers, 4.1k citations indexed

About

Raynell Clark is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Raynell Clark has authored 35 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Hematology and 10 papers in Genetics. Recurrent topics in Raynell Clark's work include Multiple Myeloma Research and Treatments (17 papers), Glycosylation and Glycoproteins Research (12 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers). Raynell Clark is often cited by papers focused on Multiple Myeloma Research and Treatments (17 papers), Glycosylation and Glycoproteins Research (12 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers). Raynell Clark collaborates with scholars based in United States, United Kingdom and Belarus. Raynell Clark's co-authors include Jerry A. Katzmann, Robert A. Kyle, A.R. Bradwell, Angela Dispenzieri, S. Vincent Rajkumar, Roshini S. Abraham, Sandra C. Bryant, James Lymp, Shaji Kumar and Terry M. Therneau and has published in prestigious journals such as The Lancet, Blood and The Journal of Immunology.

In The Last Decade

Raynell Clark

35 papers receiving 4.0k 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.

Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: a prospective study

2009 743 citations Ola Landgren, Robert A. Kyle et al. Blood profile →
Serum reference intervals and diagnostic ranges for free kappa and free lambda immunoglobulin light chains: relative sensitivity for detection of monoclonal light chains.

2002 478 citations Jerry A. Katzmann, Raynell Clark et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raynell Clark United States	25	2.6k	2.6k	1.0k	923	538	35	4.1k
Michel Delforge Belgium	31	2.6k 1.0×	2.1k 0.8×	1.6k 1.6×	646 0.7×	207 0.4×	150	4.4k
Torben Plesner Denmark	38	3.2k 1.2×	2.2k 0.8×	2.4k 2.3×	905 1.0×	670 1.2×	169	5.6k
Stefan Knop Germany	33	1.9k 0.7×	1.9k 0.8×	2.1k 2.0×	396 0.4×	881 1.6×	152	4.4k
Prashant Kapoor United States	40	4.0k 1.6×	3.8k 1.5×	2.3k 2.2×	1.3k 1.4×	250 0.5×	327	6.2k
Laura Rosiñol Spain	41	5.1k 2.0×	3.7k 1.4×	2.9k 2.8×	846 0.9×	322 0.6×	219	6.2k
B. Grosbois France	26	1.2k 0.5×	1.3k 0.5×	636 0.6×	780 0.8×	132 0.2×	118	2.6k
Patrizia Tosi Italy	35	5.2k 2.0×	3.6k 1.4×	3.0k 2.9×	1.0k 1.1×	231 0.4×	146	6.6k
Monique C. Minnema Netherlands	39	2.9k 1.1×	1.8k 0.7×	2.1k 2.0×	1.6k 1.8×	520 1.0×	229	5.6k
R Ohno Japan	33	4.1k 1.6×	2.2k 0.8×	1.2k 1.1×	1.1k 1.2×	133 0.2×	104	5.7k
Tibor Kovacsovics United States	29	2.3k 0.9×	1.4k 0.5×	880 0.9×	639 0.7×	123 0.2×	123	3.7k

Countries citing papers authored by Raynell Clark

Since Specialization

Citations

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

Fields of papers citing papers by Raynell Clark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raynell Clark

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

All Works

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20 of 20 papers shown

Landgren, Ola, Barry I. Graubard, J A Katzmann, et al.. (2014). Racial disparities in the prevalence of monoclonal gammopathies: a population-based study of 12 482 persons from the National Health and Nutritional Examination Survey. Leukemia. 28(7). 1537–1542. 120 indexed citations

Kaleta, Erin, Robert A. Kyle, Raynell Clark, & Jerry A. Katzmann. (2013). Analysis of patients with γ-heavy chain disease by the heavy/light chain and free light chain assays. Clinical Chemistry and Laboratory Medicine (CCLM). 52(5). 665–9. 5 indexed citations

Dispenzieri, Angela, Jerry A. Katzmann, Robert A. Kyle, et al.. (2012). Use of Nonclonal Serum Immunoglobulin Free Light Chains to Predict Overall Survival in the General Population. Mayo Clinic Proceedings. 87(6). 517–523. 82 indexed citations

Kumar, Shaji, Angela Dispenzieri, Jerry A. Katzmann, et al.. (2010). Serum immunoglobulin free light-chain measurement in primary amyloidosis: prognostic value and correlations with clinical features. Blood. 116(24). 5126–5129. 121 indexed citations

Dispenzieri, Angela, Jerry A. Katzmann, Robert A. Kyle, et al.. (2010). Prevalence and risk of progression of light-chain monoclonal gammopathy of undetermined significance: a retrospective population-based cohort study. The Lancet. 375(9727). 1721–1728. 242 indexed citations

Landgren, Ola, Robert A. Kyle, Ruth M. Pfeiffer, et al.. (2009). Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: a prospective study. Blood. 113(22). 5412–5417. 743 indexed citations breakdown →

Murata, Kazunori, et al.. (2009). Sharply Increased Serum Free Light-Chain Concentrations after Treatment for Multiple Myeloma. Clinical Chemistry. 56(1). 16–18. 23 indexed citations

Poshusta, Tanya L., Laura A. Sikkink, Nelson Leung, et al.. (2009). Mutations in Specific Structural Regions of Immunoglobulin Light Chains Are Associated with Free Light Chain Levels in Patients with AL Amyloidosis. PLoS ONE. 4(4). e5169–e5169. 67 indexed citations

Dispenzieri, Angela, Robert A. Kyle, Jerry A. Katzmann, et al.. (2007). Immunoglobulin free light chain ratio is an independent risk factor for progression of smoldering (asymptomatic) multiple myeloma. Blood. 111(2). 785–789. 285 indexed citations

10.

Martin, William G., Roshini S. Abraham, Tait D. Shanafelt, et al.. (2007). Serum-free light chain—a new biomarker for patients with B-cell non-Hodgkin lymphoma and chronic lymphocytic leukemia. Translational research. 149(4). 231–235. 50 indexed citations

11.

Dispenzieri, Angela, Robert A. Kyle, Jerry A. Katzmann, et al.. (2007). Immunoglobulin Free Light Chain Ratio Is an Independent Risk Factor for Progression of Smoldering Multiple Myeloma.. Blood. 110(11). 1487–1487. 2 indexed citations

12.

Rajkumar, S. Vincent, Robert A. Kyle, Terry M. Therneau, et al.. (2004). Presence of monoclonal free light chains in the serum predicts risk of progression in monoclonal gammopathy of undetermined significance. British Journal of Haematology. 127(3). 308–310. 57 indexed citations

13.

Rajkumar, S. Vincent, Robert A. Kyle, Terry M. Therneau, et al.. (2004). Presence of an Abnormal Serum Free Light Ratio Is an Independent Risk Factor for Progression in Monoclonal Gammopathy of Undetermined Significance (MGUS).. Blood. 104(11). 3647–3647. 2 indexed citations

14.

Gertz, Morie A., Roshini S. Abraham, Raynell Clark, et al.. (2003). Quantitative Analysis of Serum Free Light Chains: A New Marker for the Diagnostic Evaluation of Primary Systemic Amyloidosis. American Journal of Clinical Pathology. 119(2). 274–278. 31 indexed citations

15.

Abraham, Roshini S., Jerry A. Katzmann, Raynell Clark, et al.. (2003). Quantitative Analysis of Serum Free Light Chains. American Journal of Clinical Pathology. 119(2). 274–278. 129 indexed citations

16.

Clark, Raynell, Jerry A. Katzmann, Robert A. Kyle, Martin Fleisher, & James P. Landers. (1998). Differential diagnosis of gammopathies by capillary electrophoresis and immunosubtraction: Analysis of serum samples problematic by agarose gel electrophoresis. Electrophoresis. 19(14). 2479–2484. 24 indexed citations

17.

Oda, Robert P., Raynell Clark, Jerry A. Katzmann, & James P. Landers. (1997). Capillary electrophoresis as a clinical tool for the analysis of protein in serum and other body fluids. Electrophoresis. 18(10). 1715–1723. 45 indexed citations

18.

Katzmann, Jerry A., Raynell Clark, Elaine Wiegert, et al.. (1997). Identification of monoclonal proteins in serum: A quantitative comparison of acetate, agarose gel, and capillary electrophoresis. Electrophoresis. 18(10). 1775–1780. 34 indexed citations

19.

Clark, Raynell, J A Katzmann, Elaine Wiegert, et al.. (1996). Rapid capillary electrophoretic analysis of human serum proteins: qualitative comparison with high-throughput agarose gel electrophoresis. Journal of Chromatography A. 744(1-2). 205–213. 29 indexed citations

20.

Rodriguez, Moses, et al.. (1988). Immunoglobulins and complement in demyelination induced in mice by Theiler's virus.. The Journal of Immunology. 140(3). 800–806. 30 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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