Christopher Moulding

1.9k total citations · 2 hit papers
8 papers, 1.7k citations indexed

About

Christopher Moulding is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Christopher Moulding has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Genetics. Recurrent topics in Christopher Moulding's work include Lymphoma Diagnosis and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Christopher Moulding is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Christopher Moulding collaborates with scholars based in United States and France. Christopher Moulding's co-authors include Philip Leder, Jim Battey, Gilbert Lenoir, Rebecca Taub, William S. Murphy, Huntington Potter, Timothy A. Stewart, Thomas J. Vasicek, Clarke F. Millette and Deborah A. O’Brien and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Christopher Moulding

8 papers receiving 1.6k citations

Hit Papers

The human c-myc oncogene: Structural consequences of tran... 1983 2026 1997 2011 1983 1983 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Moulding United States 7 1.1k 361 345 312 280 8 1.7k
Jim Battey United States 13 1.7k 1.6× 454 1.3× 546 1.6× 436 1.4× 354 1.3× 16 2.5k
Pamela Hamlyn United Kingdom 15 931 0.9× 222 0.6× 390 1.1× 193 0.6× 229 0.8× 20 1.5k
G L Shen-Ong United States 19 1.2k 1.1× 622 1.7× 417 1.2× 279 0.9× 173 0.6× 27 1.9k
M Pettersson Sweden 21 1.3k 1.2× 424 1.2× 229 0.7× 279 0.9× 96 0.3× 25 1.8k
Christian‐Jacques Larsen France 30 1.6k 1.5× 819 2.3× 496 1.4× 297 1.0× 207 0.7× 107 2.6k
Y Tsujimoto United States 7 944 0.9× 400 1.1× 324 0.9× 107 0.3× 270 1.0× 8 1.5k
L R Finger United States 13 1.4k 1.3× 760 2.1× 668 1.9× 265 0.8× 515 1.8× 15 2.5k
E Shyam P Reddy United States 30 1.7k 1.6× 442 1.2× 297 0.9× 457 1.5× 164 0.6× 52 2.4k
Marshall D. Sklar United States 14 615 0.6× 398 1.1× 236 0.7× 206 0.7× 101 0.4× 18 1.1k
J A Lautenberger United States 11 789 0.7× 204 0.6× 302 0.9× 256 0.8× 78 0.3× 17 1.2k

Countries citing papers authored by Christopher Moulding

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Moulding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Moulding

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

All Works

8 of 8 papers shown
1.
Moulding, Christopher, Aaron P. Rapoport, P Goldman, et al.. (1985). Structural analysis of both products of a reciprocal translocation between c-myc and immunoglobulin loci in Burkitt lymphoma. Nucleic Acids Research. 13(6). 2141–2152. 15 indexed citations
2.
Mitchell, Kenneth F., Jim Battey, Gregory Hollis, et al.. (1984). The effect of translocations on the cellularmyc gene in burkitt lymphomas. Journal of Cellular Physiology. 121(S3). 171–177. 5 indexed citations
3.
Taub, Rebecca, Christopher Moulding, Jim Battey, et al.. (1984). Activation and somatic mutation of the translocated c-myc gene in Burkitt lymphoma cells. Cell. 36(2). 339–348. 301 indexed citations
4.
Battey, Jim, Christopher Moulding, Rebecca Taub, et al.. (1983). The human c-myc oncogene: Structural consequences of translocation into the igh locus in Burkitt lymphoma. Cell. 34(3). 779–787. 663 indexed citations breakdown →
5.
Leder, Philip, Jim Battey, Gilbert Lenoir, et al.. (1983). Translocations Among Antibody Genes in Human Cancer. Science. 222(4625). 765–771. 612 indexed citations breakdown →
6.
Millette, Clarke F. & Christopher Moulding. (1981). Cell surface marker proteins during mouse spermatogenesis: Two-dimensional electrophoretic analysis. Journal of Cell Science. 48(1). 367–382. 48 indexed citations
7.
Millette, Clarke F. & Christopher Moulding. (1981). Radio‐iodination of plasma membrane polypeptides from isolated mouse spermatogenic cells. Gamete Research. 4(4). 317–331. 9 indexed citations
8.
Millette, Clarke F., Deborah A. O’Brien, & Christopher Moulding. (1980). Isolation of plasma membranes from purified mouse spermatogenic cells. Journal of Cell Science. 43(1). 279–299. 32 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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