Chris Nolan

2.9k citations
56 papers · 2.3k indexed · 1 hit paper · h-index 27

Impact in

Papers in

Chris Nolan

56 papers receiving 2.1k citations

Hit Papers

Monoclonal antibodies to human estrogen receptor. 1980 · 431 citations
4311980202619952010100200300400

Peers

Chris Nolan
Comparison fields: 5 of 137
  • Cancer Research 333
  • Genetics 519
  • Oncology 401
  • Molecular Biology 938
  • Hematology 129
Replace Reinhard Walther with:
Reinhard Walther Germany
Donatella Tramontano Italy
Richard D. Estensen United States
Mark A. Polokoff United States
Tohru Kamata Japan
Tokuo Yamamoto Japan
Eric D. Wieben United States
Diane M. Robins United States
Jaime Font de Mora Spain
Frank W. Hobbs United States
Chris Nolan relative to Reinhard Walther Germany Reinhard Walther's profile →
Citations per field
00.5×1.5×1.9×
Reinhard Walther · 1×
Citations per year

Countries citing papers authored by Chris Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Chris Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Chris Nolan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Nolan Line = papers co-authored together Chris Nolan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20186
2 20181
3 20178
4 201622
5 201521
6 201471
7 201415
8 201312
9 201211
10 19998
11 199843
12 199712
13 199426
14 199316
15 199332
16 199058
17 199014
18 198949
19 198866
20 19691

About Chris Nolan

Chris Nolan is a scholar working on Medical Laboratory Technology, Cancer Research, Hematology, Oncology and Clinical Biochemistry, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Breast Cancer Treatment Studies (6 papers), Estrogen and related hormone effects (5 papers), HER2/EGFR in Cancer Research (4 papers), Platelet Disorders and Treatments (4 papers), Blood properties and coagulation (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Cancer Research (333 citations), Genetics (519 citations), Oncology (401 citations), Molecular Biology (938 citations) and Hematology (129 citations). Chris Nolan has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include E. Margoliash, Geoffrey L. Greene, John Cavanagh, E. V. Jensen, Edmond H. Fischer, David Ray, Emil L. Smith, A. W. Brown, William B. Novoa and Edwin G. Krebs. Their work appears in journals such as Neuropathology and Applied Neurobiology, Breast Cancer Research and Treatment, Journal of Biological Chemistry, Biochemistry and Acta Neuropathologica.

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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