N. H. Martin

60 total papers · 783 total citations
32 papers, 343 citations indexed

About

N. H. Martin is a scholar working on Hematology, Genetics and Physiology. According to data from OpenAlex, N. H. Martin has authored 32 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 7 papers in Genetics and 4 papers in Physiology. Recurrent topics in N. H. Martin's work include Multiple Myeloma Research and Treatments (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). N. H. Martin is often cited by papers focused on Multiple Myeloma Research and Treatments (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). N. H. Martin collaborates with scholars based in United Kingdom. N. H. Martin's co-authors include Geoffrey Franglen, D.J. Perkins, A. Neuberger, Margaret Mackay, C. E. Dent, J. R. Nassim, Thomas Crawford, Paul T. Callaghan, N. F. Maclagan and Tom Hargreaves and has published in prestigious journals such as Nature, The Lancet and British Journal of Cancer.

In The Last Decade

N. H. Martin

31 papers receiving 279 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
N. H. Martin	94	53	39	34	34	32	343
L. Hortling	123 1.3×	36 0.7×	51 1.3×	34 1.0×	30 0.9×	23	396
William J. Hammack	109 1.2×	95 1.8×	58 1.5×	31 0.9×	29 0.9×	20	312
Jørgen Bichel	48 0.5×	48 0.9×	35 0.9×	52 1.5×	26 0.8×	39	324
Jaeeun Yoo	55 0.6×	56 1.1×	38 1.0×	34 1.0×	68 2.0×	38	301
Che Ry Hong	70 0.7×	99 1.9×	26 0.7×	42 1.2×	13 0.4×	38	310
Mehdi Farhangi	126 1.3×	112 2.1×	82 2.1×	47 1.4×	28 0.8×	18	373
Nikolaos Chaliasos	74 0.8×	89 1.7×	97 2.5×	30 0.9×	30 0.9×	37	355
Wen Cui	168 1.8×	35 0.7×	18 0.5×	43 1.3×	47 1.4×	31	294
Gowtham K. Annarapu	86 0.9×	95 1.8×	58 1.5×	23 0.7×	49 1.4×	22	383
Nathan Luebbering	126 1.3×	86 1.6×	28 0.7×	43 1.3×	18 0.5×	33	346

Countries citing papers authored by N. H. Martin

Since Specialization

Citations

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

Fields of papers citing papers by N. H. Martin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. H. Martin. 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 N. H. Martin. The network helps show where N. H. Martin may publish in the future.

Co-authorship network of co-authors of N. H. Martin

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

All Works

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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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