This map shows the geographic impact of JD Gillmore'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 JD Gillmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JD Gillmore more than expected).
This network shows the impact of papers produced by JD Gillmore. 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 JD Gillmore. The network helps show where JD Gillmore may publish in the future.
Co-authorship network of co-authors of JD Gillmore
This figure shows the co-authorship network connecting the top 25 collaborators of JD Gillmore.
A scholar is included among the top collaborators of JD Gillmore 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 JD Gillmore. JD Gillmore is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kotecha, Tushar, Andrea Baggiano, Michele Boldrini, et al.. (2018). Assessment of Treatment Response in Cardiac AL Amyloidosis Using CMR Mapping - Results at 3 Months, 6 Months and 1 Year Post-Chemotherapy. UCL Discovery (University College London).1 indexed citations
Gilbertson, JA, et al.. (2010). Localised amyloid at injection sites derived from porcine and human insulin. UCL Discovery (University College London).1 indexed citations
8.
Gillmore, JD, et al.. (2010). Solid organ transplantation for non-TTR amyloidoses: consensus opinion. UCL Discovery (University College London).1 indexed citations
9.
Gillmore, JD, Helen J. Lachmann, Thirusha Lane, et al.. (2010). CTD versus Mel-Dex as upfront treatment in AL amyloidosis: a matched case-control study. UCL Discovery (University College London).3 indexed citations
10.
Whelan, CJ, Babita Pawarova, Thirusha Lane, et al.. (2010). Rise in serum NT pro-BNP associated with chemotherapy in patients with AL amyloidosis: implications for organ response assessment. UCL Discovery (University College London).1 indexed citations
11.
Gillmore, JD, Kim Cocks, Prayman Sattianayagam, et al.. (2010). UK AL Amyloidosis Treatment Trial (UKATT) - a randomised study: lessons for future trial design. UCL Discovery (University College London).2 indexed citations
Offer, Mark, et al.. (2006). Natural history and outcome of amyloidosis in the elderly. UCL Discovery (University College London).1 indexed citations
14.
Lachmann, Helen J., JA Gilbertson, JD Gillmore, et al.. (2006). Characterisation of cardiac amyloidosis associated with wild type transthyretin and the isoleucine 122 variant. UCL Discovery (University College London).1 indexed citations
15.
Lachmann, Helen J., et al.. (2002). Correlation of changes in nephelometric quantification of serum monoclonal free light chains following chemotherapy and outcome in 137 patients with systemic AL amyloidosis.. UCL Discovery (University College London).2 indexed citations
16.
Lachmann, Helen J., JD Gillmore, M B Pepys, & Philip N. Hawkins. (2002). Outcome in systemic AL amyloidosis following stem cell transplantation or infusional chemotherapy.. UCL Discovery (University College London).3 indexed citations
17.
Lachmann, Helen J., et al.. (2002). Frequency of hereditary systemic amyloidosis masquerading as immunoglobulin light chain, AL (primary), amyloidosis.. UCL Discovery (University College London).
18.
Gillmore, JD, JF Apperley, Helen J. Lachmann, et al.. (2001). Combination chemotherapy for systemic AL amyloidosis. UCL Discovery (University College London).1 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.