Geeta Lal

2.2k total citations
61 papers, 1.5k citations indexed

About

Geeta Lal is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Oncology. According to data from OpenAlex, Geeta Lal has authored 61 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 23 papers in Surgery and 19 papers in Oncology. Recurrent topics in Geeta Lal's work include Thyroid Cancer Diagnosis and Treatment (17 papers), Thyroid and Parathyroid Surgery (13 papers) and Parathyroid Disorders and Treatments (11 papers). Geeta Lal is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (17 papers), Thyroid and Parathyroid Surgery (13 papers) and Parathyroid Disorders and Treatments (11 papers). Geeta Lal collaborates with scholars based in United States, Canada and India. Geeta Lal's co-authors include Steven Gallinger, Ronald J. Weigel, James R. Howe, Quan‐Yang Duh, Mark Redston, Sonia L. Sugg, Orlo H. Clark, Electron Kebebew, Geoffrey Liu and Bruce A. Smith and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Geeta Lal

61 papers receiving 1.4k citations

Peers

Geeta Lal
Comparison fields: 5 of 91
  • Surgery 525
  • Oncology 513
  • Endocrinology, Diabetes and Metabolism 325
  • Molecular Biology 316
  • Nephrology 313
Replace Yuji Mizukami with:
Yuji Mizukami Japan
Edward Limbert Portugal
David W. Donley United States
Kiyoshi Nakatsuka Japan
Caroline Geers Belgium
Maddalena Gigante Italy
Matthew H. Crouthamel United States
Tatsuo Morita Japan
Kwang‐Sun Suh South Korea
Francesca Del Monte Italy
Yuji Mizukami Japan View profile →
Citations per field, relative to Geeta Lal
Geeta Lal · 1×
Citations per year, relative to Geeta Lal
Geeta Lal · 1×

Countries citing papers authored by Geeta Lal

Since Specialization
Citations

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

Fields of papers citing papers by Geeta Lal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geeta Lal

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 17
3 3
4 4
5 12
6 5
7 22
8 18
9 20
10 8
11 49
12 14
13 44
14 50
15 126
16 68
17
Inherited predisposition to pancreatic adenocarcinoma: role of family history and germ-line p16, BRCA1, and BRCA2 mutations.
184
18 8
19 86
20 1

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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